CN115358278B - State quantity distributed monitoring method and system for electricity collector - Google Patents
State quantity distributed monitoring method and system for electricity collector Download PDFInfo
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- CN115358278B CN115358278B CN202211260801.2A CN202211260801A CN115358278B CN 115358278 B CN115358278 B CN 115358278B CN 202211260801 A CN202211260801 A CN 202211260801A CN 115358278 B CN115358278 B CN 115358278B
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Abstract
The invention provides a state quantity distributed monitoring method and a system of an electricity collector, which are applied to the technical field of data state monitoring, wherein the method comprises the following steps: and obtaining the regional distribution information of the power utilization collector. And acquiring transmission distance information to generate monitoring constraint parameters. And performing environment evaluation based on the region distribution information to generate environment influence parameters. And obtaining historical signal transmission data, and performing signal evaluation to generate signal evaluation data. And obtaining standby signal transmission data, and generating signal evaluation optimization data according to the historical signal transmission data. And finishing the evaluation and correction of the signal evaluation data to obtain a signal correction and evaluation result. And (3) carrying out signal evaluation adjustment on the signal correction evaluation result by monitoring the constraint parameter and the environment influence parameter to generate a state evaluation result. The method solves the technical problems that the state evaluation accuracy of the electricity collector is low and the fault misjudgment of the electricity collector is caused due to the lack of a method for intelligently monitoring the state of the electricity collector in the prior art.
Description
Technical Field
The invention relates to the technical field of data state monitoring, in particular to a state quantity distributed monitoring method and system of an electricity collector.
Background
The power consumption collector is a collecting device for collecting power consumption data of electric equipment, and the collecting device transmits the collected power consumption data to a data receiving end through a wireless signal so as to realize interconnection monitoring of the power consumption data of a user. However, the lack of a method for intelligently monitoring the state of the electricity collector in the prior art results in lower accuracy of state evaluation of the electricity collector, and causes a problem of misjudgment of the state of the electricity collector.
Therefore, the lack of a method for intelligently monitoring the state of the electricity collector in the prior art leads to the technical problems of lower state evaluation accuracy of the electricity collector and misjudgment of faults of the electricity collector.
Disclosure of Invention
The application provides a state quantity distributed monitoring method and system of an electricity consumption collector, which are used for solving the technical problems that in the prior art, the state of the electricity consumption collector is lack of a method for intelligently monitoring the state of the electricity consumption collector, so that the state evaluation accuracy of the electricity consumption collector is low, and the fault misjudgment of the electricity consumption collector is caused.
In view of the above problems, the present application provides a method and a system for distributed monitoring of state quantity of an electricity collector.
In a first aspect of the present application, a method for monitoring a state quantity of an electricity consumption collector in a distributed manner is provided, where the method is applied to an intelligent management system, and the intelligent management system is communicatively connected to the electricity consumption collector, and the method includes: obtaining the regional distribution information of the electricity collector; acquiring signal transmission distance information of the power collector based on the region distribution information, and generating monitoring constraint parameters based on the transmission distance information; performing environmental impact information evaluation based on the region distribution information to generate environmental impact parameters; acquiring historical signal transmission data of the electricity collector, and performing signal evaluation based on the historical signal transmission data to generate signal evaluation data; the standby signal transmission data of the electricity collector is obtained, and signal evaluation optimization data are generated according to the standby signal transmission data and the historical signal transmission data; performing evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result; and carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating a state evaluation result of the electricity collector based on the evaluation adjustment result.
In a second aspect of the present application, there is provided a state quantity distributed monitoring system for an electricity consumption harvester, the system being in communication with the electricity consumption harvester, the system comprising: the regional distribution information acquisition module is used for acquiring regional distribution information of the power utilization collector; the monitoring constraint parameter generation module is used for obtaining signal transmission distance information of the power utilization collector based on the region distribution information and generating monitoring constraint parameters based on the transmission distance information; the environment influence parameter generation module is used for carrying out environment influence information evaluation based on the region distribution information to generate environment influence parameters; the signal evaluation data acquisition module is used for acquiring historical signal transmission data of the power utilization collector, performing signal evaluation based on the historical signal transmission data and generating signal evaluation data; the evaluation optimization data acquisition module is used for acquiring standby signal transmission data of the power utilization collector and generating signal evaluation optimization data according to the standby signal transmission data and the historical signal transmission data; the signal correction evaluation result acquisition module is used for carrying out evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result; and the state evaluation result acquisition module is used for carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating the state evaluation result of the power utilization collector based on the evaluation adjustment result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method provided by the embodiment of the application obtains the regional distribution information of the power consumption collector. And acquiring transmission distance information to generate monitoring constraint parameters. And performing environment evaluation based on the region distribution information to generate environment influence parameters. And obtaining historical signal transmission data, and performing signal evaluation to generate signal evaluation data. And obtaining standby signal transmission data, and generating signal evaluation optimization data according to the historical signal transmission data. And finishing the evaluation and correction of the signal evaluation data to obtain a signal correction and evaluation result. And (3) carrying out signal evaluation adjustment on the signal correction evaluation result by monitoring the constraint parameter and the environment influence parameter to generate a state evaluation result. The method and the device realize the evaluation of the signals of the power utilization collector from multiple dimensions, so that the acquired signal evaluation result is more accurate, and the accuracy of state evaluation of the power utilization collector is improved. The method solves the technical problems that the state evaluation accuracy of the electricity collector is low and the fault misjudgment of the electricity collector is caused due to the lack of a method for intelligently monitoring the state of the electricity collector in the prior art.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of a state quantity distributed monitoring method of an electricity collector provided in the present application;
fig. 2 is a schematic flow chart of acquiring signal evaluation data in a state quantity distributed monitoring method of an electricity collector provided by the application;
FIG. 3 is a schematic flow chart of acquiring environmental impact parameters in a method for monitoring a state quantity of an electricity collector according to the present application;
fig. 4 is a schematic structural diagram of a state quantity distributed monitoring system of an electricity collector.
Reference numerals illustrate: the system comprises a region distribution information acquisition module 11, a monitoring constraint parameter generation module 12, an environment influence parameter generation module 13, a signal evaluation data acquisition module 14, an evaluation optimization data acquisition module 15, a signal correction evaluation result acquisition module 16 and a state evaluation result acquisition module 17.
Detailed Description
The application provides a state quantity distributed monitoring method and system of an electricity consumption collector, which are used for solving the technical problems that in the prior art, the state of the electricity consumption collector is lack of a method for intelligently monitoring the state of the electricity consumption collector, so that the state evaluation accuracy of the electricity consumption collector is low, and the fault misjudgment of the electricity consumption collector is caused.
The technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings. The described embodiments are only some of the contents that can be realized by the present application, and not the whole contents of the present application.
Example 1
As shown in fig. 1, the present application provides a state quantity distributed monitoring method of an electricity consumption collector, where the method is applied to an intelligent management system, and the intelligent management system is communicatively connected with the electricity consumption collector, and the method includes:
step 100: obtaining the regional distribution information of the electricity collector;
step 200: acquiring signal transmission distance information of the power collector based on the region distribution information, and generating monitoring constraint parameters based on the transmission distance information;
step 300: performing environmental impact information evaluation based on the region distribution information to generate environmental impact parameters;
specifically, the regional distribution information of the electricity collector is obtained, wherein the electricity collector is used for collecting the electricity information of the user and transmitting the electricity information of the user. And then, obtaining signal transmission distance information of the electricity collector based on the region distribution information, obtaining the signal transmission distance of the electricity collector, and generating monitoring constraint parameters based on the transmission distance information, wherein the monitoring constraint parameters are used for constraining the distance between the electricity collector and the connection point. The connection point is a receiving point of user electricity data of the electricity collector, and when the transmission distance exceeds the monitoring constraint parameter, the signal transmission of the electricity collector is influenced by the distance necessarily, so that the monitoring constraint parameter is generated according to the transmission distance information, and the influence of the distance on the signal transmission of the electricity collector is acquired. And then, carrying out environmental impact information evaluation on the distribution environment of the electricity consumption collector based on the region distribution information, evaluating the impact of the environment where the electricity consumption collector is positioned on the data uploading of the electricity consumption collector, such as the impact of transmission barriers between the electricity consumption collector and the connection point on signal transmission and the impact of the environment temperature on the transmission of the electricity consumption collector and the connection point, and generating environmental impact parameters.
As shown in fig. 3, the method step 300 provided in the embodiment of the present application further includes:
step 310: building information of the electricity collector and the connection point is obtained, and blocking influence parameters are generated through the building information;
step 320: acquiring real-time environmental temperature data of the electricity collector through the temperature sensor, and generating environmental temperature influence parameters based on the real-time environmental temperature data;
step 330: and obtaining the environment influence parameter through the barrier influence parameter and the environment temperature influence parameter.
Specifically, building information of the electricity collector and the connection point is obtained, blocking influence parameters are generated through the building information, the blocking influence parameters are obtained according to the number of blocking buildings between the electricity collector and the connection point, when the number of blocking buildings is obtained, the height difference is obtained through obtaining the height data of the electricity collector and the connection point, the linear distance of the mapping point is built by obtaining the linear distance between the vertical mapping point of the electricity collector and the vertical mapping point of the connection point, and a height difference triangle is built by taking the linear distance of the height difference and the mapping point as a right-angle side. And (3) each mapping point straight line distance in the height difference triangle corresponds to hypotenuse height data, a lower height value in the connection point of the power collector is obtained, height addition calculation is carried out on the height value and the hypotenuse height data, a height calculation result is obtained, the height data corresponding to each point on the mapping point straight line distance is obtained, and a building exceeding the height calculation result at each point on the mapping point straight line distance is a blocking building. The blocking influence parameters are used for monitoring the signal attenuation percentages of various buildings to obtain the average signal attenuation percentages of the buildings. And calculating the blocking influence parameters according to the blocking building quantity and the building average signal attenuation percentage, wherein if the blocking building quantity is 10 and the building average signal attenuation percentage is 2%, the corresponding blocking influence parameters are 20%, and the blocking influence parameters are larger as the blocking building quantity is larger. And then, acquiring real-time environment temperature data of the electricity utilization acquisition device through a temperature sensor, generating environment temperature influence parameters based on the acquired real-time environment temperature data, wherein the electricity utilization acquisition device cannot work in a high-temperature environment for a long time because the electronic device is an electronic device, and the higher the environment temperature is, the higher the probability that the electricity utilization acquisition device breaks down, so that the generated environment temperature influence parameters are also higher. The optimal working temperature range and the highest working temperature of the power utilization collector are obtained, and difference data of the highest working temperature and the optimal working temperature range are obtained. When the environmental temperature is in the optimal working temperature range, the environmental temperature influence parameter is 0, when the environmental temperature exceeds the optimal working temperature range, the temperature difference value between the environmental temperature and the optimal working temperature range is obtained, and the environmental temperature influence parameter is obtained according to the ratio of the temperature difference value and the difference value data. And finally, obtaining the environmental influence parameter by carrying out superposition calculation on the barrier influence parameter and the environmental temperature influence parameter. And the influence evaluation of the environment on the communication between the electricity collector and the connection point is completed by acquiring the environment influence parameters.
Step 400: acquiring historical signal transmission data of the electricity collector, and performing signal evaluation based on the historical signal transmission data to generate signal evaluation data;
step 500: the standby signal transmission data of the electricity collector is obtained, and signal evaluation optimization data are generated according to the standby signal transmission data and the historical signal transmission data;
step 600: performing evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result;
step 700: and carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating a state evaluation result of the electricity collector based on the evaluation adjustment result.
Specifically, acquiring historical signal transmission data of the electricity collector, performing signal evaluation based on the historical signal transmission data, and performing signal evaluation on the historical signal transmission data from multiple dimensions, including: and evaluating the fluctuation, the corresponding time and the like of the historical signal transmission data to generate signal evaluation data. And then, obtaining the standby signal transmission data of the electricity collector, wherein the standby signal transmission data is received by a standby connection point, the standby connection point is a standby device of the connection point, and evaluating whether the connection point is abnormal or not by receiving the standby signal transmission data, so that the error evaluation of the electricity collector caused by the abnormality of the connection point is avoided. Generating signal evaluation optimization data according to the standby signal transmission data and the historical signal transmission data. And carrying out evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result, namely carrying out correction optimization on the signal evaluation data through the signal evaluation optimization data, avoiding error evaluation on the power utilization collector caused by connection point damage, and obtaining the signal correction evaluation result. And finally, carrying out signal evaluation adjustment on the signal correction evaluation result by monitoring constraint parameters and environment influence parameters, namely carrying out signal evaluation adjustment on the correction evaluation result according to the monitoring constraint parameters and the environment influence parameters, generating a state evaluation result of the electricity collector based on the evaluation adjustment result, and realizing evaluation on the signals of the electricity collector from multiple dimensions, so that the acquired signal evaluation result is more accurate, and the accuracy of state evaluation of the electricity collector is improved.
As shown in fig. 2, the method step 400 provided in the embodiment of the present application further includes:
step 410: performing time period classification on the historical signal transmission data to obtain a time period classification result;
step 420: setting a simultaneous section fluctuation constraint interval;
step 430: performing signal simultaneous period signal evaluation through the simultaneous period fluctuation constraint interval and the time period classification result to generate first signal evaluation data;
step 440: carrying out fluctuation trend evaluation on the signals under the same time period based on the time period classification result, and generating second signal evaluation data based on the fluctuation trend evaluation result;
step 450: the signal evaluation data is obtained from the first signal evaluation data and the second signal evaluation data.
Specifically, the historical signal transmission data is subjected to time period classification, the historical signal transmission data is divided into a plurality of time periods, and a time period classification result is obtained. Setting a simultaneous period fluctuation constraint interval, namely setting a fluctuation constraint interval of transmission signal waveforms in the same period, and when the fluctuation interval is in the period of the fluctuation constraint interval, indicating that the fluctuation of the signal accords with a threshold value, otherwise, indicating that the signal is abnormal. And then, carrying out signal simultaneous period signal evaluation through a simultaneous period fluctuation constraint interval and a period classification result, and evaluating whether signal fluctuation of each period exceeds a corresponding simultaneous period fluctuation constraint interval or not to generate first signal evaluation data. And carrying out fluctuation trend evaluation on the signals under the same time period based on the time period classification result, generating second signal evaluation data based on the fluctuation trend evaluation result, namely acquiring the signal fluctuation trend under the same time period, wherein the acquired fluctuation trend is an enhancement trend or a weakening trend, and when the signal fluctuation is weakened, the signal fluctuation is reduced, and the interference source is gradually reduced. And when the fluctuation trend is increased, the interference signal is enhanced, the interference source is gradually enhanced, and second signal evaluation data are generated according to the fluctuation trend of the signal. And finally, obtaining the signal evaluation data through the first signal evaluation data and the second signal evaluation data, and finishing evaluation of the signal interference degree.
The method step 400 provided in the embodiment of the present application further includes:
step 460: carrying out transmission time identification on the historical signal transmission data, and carrying out sequential ordering according to a transmission time identification result to obtain sequential ordering data;
step 470: performing signal stability change evaluation based on the sequential order data to generate signal stability evaluation data;
step 480: performing acquisition response time evaluation on the sequential order data, and generating response sensitivity evaluation data based on an acquisition response time evaluation result;
step 490: the signal evaluation data is obtained from the first signal evaluation data, the second signal evaluation data, the signal stability evaluation data, and the response sensitivity evaluation data.
Specifically, the transmission time identification is performed on the historical signal transmission data, the transmission time of each transmission data is identified, and the sequential ordering is performed according to the transmission time identification result, so that the sequential ordering data are obtained. And performing signal stability change evaluation based on the sequential order data, and performing signal stability evaluation according to the sequential order data by setting an order threshold value when performing signal stability change evaluation, wherein data with the later sequential order has poorer transmission stability than data with the earlier sequential order, so as to generate signal stability evaluation data. Further, as the response time of the data can reflect the signal transmission quality to a certain extent, the signal transmission process is unstable when the response sensitivity is lower as the response time is longer, and otherwise, the signal transmission process is stable when the response sensitivity is high. And when the response sensitivity evaluation data are acquired, calculating the difference value between the average response time of the sequential order data and the response time in the sequential order data, and generating the response sensitivity evaluation data according to the acquired difference value calculation result, wherein the response sensitivity is lower as the difference value is larger. Finally, signal evaluation data is obtained from the first signal evaluation data, the second signal evaluation data, the signal stability evaluation data, and the response sensitivity evaluation data. The transmission signals are evaluated through a plurality of evaluation dimensions, so that the acquired signal evaluation result is more accurate, and the accuracy of state evaluation of the power utilization collector is improved.
The method step 400 provided in the embodiment of the present application further includes:
step 401: judging whether the signal evaluation data have signal data which do not meet a preset quality threshold value or not;
step 402: when the signal evaluation data have signal data which do not meet the preset quality threshold, judging whether the transmission distance information is in a distance constraint interval range or not;
step 403: when the transmission distance information is in the range of the distance constraint interval, matching newly added connection points based on the range of the distance constraint interval;
step 404: acquiring signals of the power utilization acquisition device based on the newly added connection point, and generating newly added signal evaluation data;
step 405: and when the newly added signal evaluation data can meet the preset quality threshold, carrying out signal acquisition of the electricity collector based on the newly added connection point.
Specifically, whether signal evaluation data exist signal data which do not meet a preset quality threshold value is judged, wherein the preset quality threshold value is a preset threshold value for evaluating the stability and strength of the signal. When the signal evaluation data do not meet the signal data of the preset quality threshold, judging whether the transmission distance information is in a distance constraint interval range, wherein the distance constraint interval range is an edge range of the connection point communication, namely judging whether the position of the power utilization collector is in the edge range of the connection point communication. When the transmission distance information is in the range of the distance constraint interval, the position of the electricity collector is indicated to be in the edge range of the connection point communication. Because the communication signal of the edge range is poor, a new connection point needs to be matched for the electricity collector again, and the newly added connection point is matched based on the distance constraint interval range. And then, carrying out signal acquisition of the power utilization collector based on the newly added connection point, and adopting the same evaluation mode to complete signal connection information evaluation of the newly added connection point and the power utilization collector and generate newly added signal evaluation data. And when the newly added signal evaluation data can meet the preset quality threshold, carrying out signal acquisition of the electricity collector based on the newly added connection point. Through evaluating the signal quality of the electricity collector, and acquiring the edge communication range of the connection point, the electricity collector is connected and optimized, and the electricity collector is convenient to realize better connection communication.
The method step 400 provided in the embodiment of the present application further includes:
step 406: when the newly added signal evaluation data cannot meet the preset quality threshold, generating equipment constraint parameters based on the state evaluation result and the basic information of the power utilization collector;
step 407: matching and replacing equipment through the equipment constraint parameters;
step 408: and carrying out replacement processing of the electricity collector through the replacement equipment.
Specifically, when the newly added signal evaluation data cannot meet the preset quality threshold, the situation that the preset quality threshold of the signal connection cannot be met after the replaced connection point is indicated, the situation that the electricity collector is possibly damaged is indicated, and the equipment constraint parameters are generated based on the state evaluation result and the basic information of the electricity collector. And the replacement of the electricity collector with problems is realized by matching the equipment constraint parameters with corresponding replacement equipment and carrying out the replacement treatment of the electricity collector according to the replacement equipment.
The method provided in the embodiment of the present application further includes step 405:
step 405-1: when the signal evaluation data have the signal data which do not meet the preset quality threshold, generating an evaluation tag of the electricity collector based on the state evaluation result of the electricity collector;
step 405-2: and carrying out identification of the electricity utilization collector based on the evaluation label, and carrying out application of the electricity utilization collector based on an identification result.
Specifically, when the signal evaluation data have signal data which do not meet the preset quality threshold, it is indicated that the signal connection of the power collector cannot meet the preset quality threshold. And generating an evaluation label of the electricity utilization collector based on the state evaluation result of the electricity utilization collector, namely generating a corresponding availability degree label of the electricity utilization collector according to the state evaluation result. And then, carrying out the identification of the electricity consumption collector based on the evaluation label, identifying the availability degree of each electricity consumption collector, and carrying out the application of the electricity consumption collector based on the identification result, namely carrying out position adjustment on the electricity consumption collector according to the availability degree of the electricity consumption collector. Because the signal evaluation data is only used for evaluating the data transmission signals of the electricity collectors, and the signals of the electricity collectors of the part cannot meet the preset quality threshold possibly caused by the environmental reasons such as distance, more obstruction and the like, the electricity collectors of the part are identified, the electricity collectors of the part are applied based on the identification result, namely the electricity collectors of the part can be subjected to environmental adjustment, and the situation that the electricity collectors cannot be replaced due to the fact that signal connection caused by the non-electricity collectors cannot meet the preset quality threshold is avoided, so that resource waste is caused.
In summary, the method provided by the embodiment of the present application obtains the area distribution information of the electricity collector. And obtaining signal transmission distance information of the power collector based on the region distribution information, and generating monitoring constraint parameters based on the transmission distance information. And evaluating the environmental impact information based on the region distribution information to generate environmental impact parameters. And acquiring historical signal transmission data of the electricity collector, and performing signal evaluation based on the historical signal transmission data to generate signal evaluation data. And obtaining standby signal transmission data of the electricity collector, and generating signal evaluation optimization data according to the standby signal transmission data and the historical signal transmission data. And carrying out evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result. And carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating a state evaluation result of the electricity collector based on the evaluation adjustment result. The method and the device realize the evaluation of the signals of the power utilization collector from multiple dimensions such as environmental influence, connection points, transmission distances and the like, so that the acquired signal evaluation result is more accurate, and the accuracy of state evaluation of the power utilization collector is improved. The method solves the technical problems that the state evaluation accuracy of the electricity collector is low and the fault misjudgment of the electricity collector is caused due to the lack of a method for intelligently monitoring the state of the electricity collector in the prior art.
Example two
Based on the same inventive concept as the state quantity distributed monitoring method of an electricity consumption collector in the foregoing embodiment, as shown in fig. 4, the present application provides a state quantity distributed monitoring system of an electricity consumption collector, where the system is communicatively connected to the electricity consumption collector, and the system includes:
the regional distribution information acquisition module 11 is used for acquiring regional distribution information of the power utilization collector;
a monitoring constraint parameter generating module 12, configured to obtain signal transmission distance information of the electricity collector based on the region distribution information, and generate a monitoring constraint parameter based on the transmission distance information;
an environmental impact parameter generating module 13, configured to perform environmental impact information evaluation based on the region distribution information, and generate an environmental impact parameter;
a signal evaluation data acquisition module 14, configured to obtain historical signal transmission data of the electricity collector, perform signal evaluation based on the historical signal transmission data, and generate signal evaluation data;
the evaluation optimization data acquisition module 15 is used for acquiring standby signal transmission data of the electricity collector and generating signal evaluation optimization data according to the standby signal transmission data and the historical signal transmission data;
a signal correction evaluation result obtaining module 16, configured to perform evaluation correction of the signal evaluation data through the signal evaluation optimization data, and obtain a signal correction evaluation result;
and a state evaluation result obtaining module 17, configured to perform signal evaluation adjustment of the signal correction evaluation result according to the monitoring constraint parameter and the environmental impact parameter, and generate a state evaluation result of the electricity collector based on the evaluation adjustment result.
Further, the signal evaluation data acquisition module 14 is further configured to:
performing time period classification on the historical signal transmission data to obtain a time period classification result;
setting a simultaneous section fluctuation constraint interval;
performing signal simultaneous period signal evaluation through the simultaneous period fluctuation constraint interval and the time period classification result to generate first signal evaluation data;
carrying out fluctuation trend evaluation on the signals under the same time period based on the time period classification result, and generating second signal evaluation data based on the fluctuation trend evaluation result;
the signal evaluation data is obtained from the first signal evaluation data and the second signal evaluation data.
Further, the signal evaluation data acquisition module 14 is further configured to:
carrying out transmission time identification on the historical signal transmission data, and carrying out sequential ordering according to a transmission time identification result to obtain sequential ordering data;
performing signal stability change evaluation based on the sequential order data to generate signal stability evaluation data;
performing acquisition response time evaluation on the sequential order data, and generating response sensitivity evaluation data based on an acquisition response time evaluation result;
the signal evaluation data is obtained from the first signal evaluation data, the second signal evaluation data, the signal stability evaluation data, and the response sensitivity evaluation data.
Further, the signal evaluation data acquisition module 14 is further configured to:
judging whether the signal evaluation data have signal data which do not meet a preset quality threshold value or not;
when the signal evaluation data have signal data which do not meet the preset quality threshold, judging whether the transmission distance information is in a distance constraint interval range or not;
when the transmission distance information is in the range of the distance constraint interval, matching newly added connection points based on the range of the distance constraint interval;
acquiring signals of the power utilization acquisition device based on the newly added connection point, and generating newly added signal evaluation data;
and when the newly added signal evaluation data can meet the preset quality threshold, carrying out signal acquisition of the electricity collector based on the newly added connection point.
Further, the signal evaluation data acquisition module 14 is further configured to:
when the newly added signal evaluation data cannot meet the preset quality threshold, generating equipment constraint parameters based on the state evaluation result and the basic information of the power utilization collector;
matching and replacing equipment through the equipment constraint parameters;
and carrying out replacement processing of the electricity collector through the replacement equipment.
Further, the environmental impact parameter generation module 13 is further configured to:
building information of the electricity collector and the connection point is obtained, and blocking influence parameters are generated through the building information;
acquiring real-time environmental temperature data of the electricity collector through the temperature sensor, and generating environmental temperature influence parameters based on the real-time environmental temperature data;
and obtaining the environment influence parameter through the barrier influence parameter and the environment temperature influence parameter.
Further, the signal evaluation data acquisition module 14 is further configured to:
when the signal evaluation data have the signal data which do not meet the preset quality threshold, generating an evaluation tag of the electricity collector based on the state evaluation result of the electricity collector;
and carrying out identification of the electricity utilization collector based on the evaluation label, and carrying out application of the electricity utilization collector based on an identification result.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with specific features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application, and the content thus obtained also falls within the scope of the present application.
Claims (8)
1. The utility model provides a state quantity distributed monitoring method of electricity consumption collector, its characterized in that, the method is applied to intelligent management system, intelligent management system and electricity consumption collector communication connection, the method includes:
obtaining the regional distribution information of the electricity collector;
acquiring signal transmission distance information of the power collector based on the region distribution information, and generating monitoring constraint parameters based on the transmission distance information;
performing environmental impact information evaluation based on the region distribution information to generate environmental impact parameters;
acquiring historical signal transmission data of the electricity collector, and performing signal evaluation based on the historical signal transmission data to generate signal evaluation data;
the standby signal transmission data of the electricity collector is obtained, and signal evaluation optimization data are generated according to the standby signal transmission data and the historical signal transmission data;
performing evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result;
and carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating a state evaluation result of the electricity collector based on the evaluation adjustment result.
2. The method of claim 1, wherein the method further comprises:
performing time period classification on the historical signal transmission data to obtain a time period classification result;
setting a simultaneous section fluctuation constraint interval;
performing signal simultaneous period signal evaluation through the simultaneous period fluctuation constraint interval and the time period classification result to generate first signal evaluation data;
carrying out fluctuation trend evaluation on the signals under the same time period based on the time period classification result, and generating second signal evaluation data based on the fluctuation trend evaluation result;
the signal evaluation data is obtained from the first signal evaluation data and the second signal evaluation data.
3. The method of claim 2, wherein the method further comprises:
carrying out transmission time identification on the historical signal transmission data, and carrying out sequential ordering according to a transmission time identification result to obtain sequential ordering data;
performing signal stability change evaluation based on the sequential order data to generate signal stability evaluation data;
performing acquisition response time evaluation on the sequential order data, and generating response sensitivity evaluation data based on an acquisition response time evaluation result;
the signal evaluation data is obtained from the first signal evaluation data, the second signal evaluation data, the signal stability evaluation data, and the response sensitivity evaluation data.
4. The method of claim 1, wherein the method further comprises:
judging whether the signal evaluation data have signal data which do not meet a preset quality threshold value or not;
when the signal evaluation data have signal data which do not meet the preset quality threshold, judging whether the transmission distance information is in a distance constraint interval range or not;
when the transmission distance information is in the range of the distance constraint interval, matching newly added connection points based on the range of the distance constraint interval;
acquiring signals of the power utilization acquisition device based on the newly added connection point, and generating newly added signal evaluation data;
and when the newly added signal evaluation data can meet the preset quality threshold, carrying out signal acquisition of the electricity collector based on the newly added connection point.
5. The method of claim 4, wherein the method further comprises:
when the newly added signal evaluation data cannot meet the preset quality threshold, generating equipment constraint parameters based on the state evaluation result and the basic information of the power utilization collector;
matching and replacing equipment through the equipment constraint parameters;
and carrying out replacement processing of the electricity collector through the replacement equipment.
6. The method of claim 1, wherein the intelligent management system is communicatively coupled to a temperature sensor, the method further comprising:
building information of the electricity collector and the connection point is obtained, and blocking influence parameters are generated through the building information;
acquiring real-time environmental temperature data of the electricity collector through the temperature sensor, and generating environmental temperature influence parameters based on the real-time environmental temperature data;
and obtaining the environment influence parameter through the barrier influence parameter and the environment temperature influence parameter.
7. The method of claim 4, wherein the method further comprises:
when the signal evaluation data have the signal data which do not meet the preset quality threshold, generating an evaluation tag of the electricity collector based on the state evaluation result of the electricity collector;
and carrying out identification of the electricity utilization collector based on the evaluation label, and carrying out application of the electricity utilization collector based on an identification result.
8. A state quantity distributed monitoring system for an electricity consumption harvester, the system in communication with the electricity consumption harvester, the system comprising:
the regional distribution information acquisition module is used for acquiring regional distribution information of the power utilization collector;
the monitoring constraint parameter generation module is used for obtaining signal transmission distance information of the power utilization collector based on the region distribution information and generating monitoring constraint parameters based on the transmission distance information;
the environment influence parameter generation module is used for carrying out environment influence information evaluation based on the region distribution information to generate environment influence parameters;
the signal evaluation data acquisition module is used for acquiring historical signal transmission data of the power utilization collector, performing signal evaluation based on the historical signal transmission data and generating signal evaluation data;
the evaluation optimization data acquisition module is used for acquiring standby signal transmission data of the power utilization collector and generating signal evaluation optimization data according to the standby signal transmission data and the historical signal transmission data;
the signal correction evaluation result acquisition module is used for carrying out evaluation correction on the signal evaluation data through the signal evaluation optimization data to obtain a signal correction evaluation result;
and the state evaluation result acquisition module is used for carrying out signal evaluation adjustment on the signal correction evaluation result through the monitoring constraint parameter and the environment influence parameter, and generating the state evaluation result of the power utilization collector based on the evaluation adjustment result.
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