CN118199269A - In-situ monitoring system based on air compression energy storage - Google Patents
In-situ monitoring system based on air compression energy storage Download PDFInfo
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Abstract
The invention discloses an on-site monitoring system based on air compression energy storage, and relates to the technical field of monitoring. The in-situ monitoring system based on air compression energy storage comprises: the system comprises a data acquisition module, an index acquisition module and an analysis module; and a data acquisition module: the method comprises the steps of monitoring a target area on site and acquiring energy storage condition parameter data; an index acquisition module: the energy storage condition evaluation index is obtained according to the energy storage condition parameter data; and an analysis module: and the system is used for analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding. According to the air compression energy storage system, the energy storage condition parameter data is obtained, the energy storage monitoring index data is obtained according to the energy storage condition parameter data, the energy storage condition assessment index is obtained according to the energy storage monitoring index data, and the air compression energy storage condition is analyzed according to the energy storage condition assessment index, so that the air compression energy storage condition is rapidly and efficiently clarified, and the problem that the air compression energy storage condition is difficult to rapidly clarify in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to an on-site monitoring system based on air compression energy storage.
Background
With the rapid development of the new energy field, the air compression energy storage technology has wide application prospect in the aspects of renewable energy storage, power grid peak shaving and the like. The air compression energy storage technology is an energy storage mode, and electric energy is converted into internal energy of air for storage by compressing the air to high pressure and storing the air in an air storage tank. When the energy is required to be released, the high-pressure air is released, enters a combustion chamber to be heated by fuel combustion, and then drives a turbine to generate electricity. The air compression energy storage technology can effectively improve the consumption and utilization level of renewable energy sources, and provides various services such as peak shaving, black start, demand response and the like for power grid operation. However, in high altitude areas, the operation performance of the air compression energy storage device may be affected. Therefore, for large air compression energy storage demonstration projects in high altitude areas, an effective monitoring system is needed to ensure stable operation of the equipment.
The existing on-site monitoring system captures image information by installing cameras at each key position of a monitored object, converts analog signals into digital signals by an encoder, and finally transmits the digital signals to a monitoring center through a network for real-time watching or storage analysis, so that an on-site monitoring function is realized.
For example, publication No.: an in-situ monitoring system for energy storage of a high energy lithium battery is disclosed in CN109904871a patent application, comprising: the system comprises a plurality of lithium ion batteries, a PCS, an energy storage monitoring system, an on-site monitoring terminal and a personal computer, wherein the PCS is electrically connected with the lithium ion batteries, the switch is electrically connected with the PCS, the energy storage monitoring system is electrically connected with the on-site monitoring terminal, the on-site monitoring terminal is a server, and the on-site monitoring terminal is a personal computer; the lithium ion battery is electrically connected with a BMS, the BMS is electrically connected with a CAN-NET converter, and the CAN-NET converter is electrically connected with the switch; the PCS comprises a PCS controller and an AC/DC converter, the PCS is connected with the energy storage monitoring system through the PCS controller, the PCS is connected with the lithium ion battery through a direct current output end of the AC/DC converter, and an alternating current output end of the AC/DC converter is connected with an alternating current power grid.
For example, publication No.: the CN114069862A patent application discloses a transformer substation on-site monitoring and master station information double-checking method and device, comprising the following steps: the acquisition module is used for acquiring real-time data of the transformer substation through a real-time channel of the transformer substation network shutdown and acquiring on-site monitoring data of the transformer substation through a service channel of the transformer substation network shutdown; the analysis module is used for respectively acquiring graphic model information and data values in the real-time data and the on-site monitoring data; and the checking module is used for checking whether the graph mode information and the data value are consistent or not respectively, and checking passes when the graph mode information and the data value are consistent, or else checking does not pass.
However, in the process of implementing the technical scheme of the embodiment of the application, the application discovers that the above technology has at least the following technical problems:
In the prior art, as the running condition of the air compression energy storage equipment is influenced by a plurality of factors, the air compression energy storage efficiency is changed, and the problem that the air compression energy storage state is difficult to quickly determine exists.
Disclosure of Invention
The embodiment of the application solves the problem that the air compression energy storage state is difficult to be quickly defined in the prior art by providing the on-site monitoring system based on the air compression energy storage, and realizes quick and high-efficiency definition of the air compression energy storage state.
The embodiment of the application provides an on-site monitoring system based on air compression energy storage, which comprises the following components: the system comprises a data acquisition module, an index acquisition module and an analysis module; wherein, the data acquisition module: the method comprises the steps of monitoring a target area on site and acquiring energy storage condition parameter data; the index acquisition module: the method comprises the steps of obtaining an energy storage condition evaluation index according to energy storage condition parameter data, wherein the energy storage condition evaluation index is used for reflecting the state good degree of air compression energy storage of a target area; the analysis module: and the system is used for analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding.
Further, the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage condition parameter data is as follows: the method comprises the steps of monitoring a target area in real time and acquiring energy storage condition parameter data, wherein the energy storage condition parameter data comprise environmental condition influence energy storage degree data, air quality influence energy storage degree data, equipment influence energy storage degree data and use degree influence energy storage data; obtaining energy storage monitoring index data according to the energy storage condition parameter data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index; obtaining an energy storage condition evaluation index according to the energy storage monitoring index data; the environmental condition influence energy storage degree evaluation index is used for comprehensively evaluating the data of the influence degree of the environmental condition on the air compression energy storage through the altitude data of the monitoring area, the air pressure density data of the monitoring area, the temperature data of the monitoring area and the humidity data of the monitoring area; the air quality influence energy storage degree evaluation index is used for expressing data reflecting the influence degree of air quality on air compression energy storage through monitoring area particulate matter concentration data, monitoring area nitrogen oxide concentration data and monitoring area ozone concentration data; the equipment influence energy storage degree evaluation index is used for describing data for evaluating the influence degree of the running state of the air compression energy storage equipment on the air compression energy storage through the compressor average compression ratio data, the compressor average working efficiency data, the expander average power generation power data and the air compression energy storage efficiency data; the usage degree influence energy storage evaluation index is used for reflecting the data of the influence degree of the maintenance degree of the air compression energy storage device on the air compression energy storage through the data of the average aging degree of the device, the data of the average appearance damage degree of the device and the data of the average maintenance times of the device.
Further, the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage monitoring index data is as follows: acquiring energy storage monitoring index data, and when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is larger than a first threshold value or the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is smaller than a second threshold value, indicating that the energy storage monitoring index data is abnormal, and recalculating the energy storage monitoring index data; when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is not greater than a first threshold value and the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is not less than a second threshold value, the energy storage monitoring index data is indicated to be normal; and analyzing the normal energy storage monitoring index data to obtain an energy storage condition evaluation index.
Further, the specific analysis process of the energy storage degree evaluation index influenced by the environmental conditions is as follows: acquiring data of the energy storage degree influenced by environmental conditions and carrying out normalization processing; and comparing the altitude data of the monitoring area in the environmental condition influence energy storage degree data with the standard altitude data of the air compression energy storage area, comparing the air pressure density data of the monitoring area with the air pressure density standard data of the monitoring area, comparing the temperature data of the monitoring area with the temperature standard data of the monitoring area, comparing the humidity data of the monitoring area with the humidity standard data of the monitoring area, and comprehensively analyzing the comparison result to obtain the evaluation index of the environmental condition influence energy storage degree.
Further, the specific analysis process of the air quality influence energy storage degree evaluation index is as follows: acquiring data of the energy storage degree affected by air quality and performing data processing; comparing the monitoring area particulate matter concentration data in the air quality influence energy storage degree with the monitoring area particulate matter concentration standard data, and comparing the monitoring area nitrogen oxide concentration data with the monitoring area nitrogen oxide concentration standard data, and comparing the monitoring area ozone concentration data with the monitoring area ozone concentration standard data; and analyzing the air quality influence energy storage degree data to obtain an air quality influence energy storage degree evaluation index.
Further, the specific analysis process of the device influencing the energy storage degree evaluation index is as follows: acquiring data of the equipment influence energy storage degree, and quantifying the data in the data of the equipment influence energy storage degree to the same magnitude; obtaining the compression ratio of all compressors of the monitoring area at the time observation point, carrying out average value processing to obtain an average compression ratio, and taking the average compression ratio as average compression ratio data of the compressors; the working efficiency of all compressors is obtained, average working efficiency is obtained by average processing, and the average working efficiency is used as average working efficiency data of the compressors; acquiring the power generation power of all the expanders, performing average processing to obtain average power generation power, and taking the average power generation power as the average power generation power of the expanders; and analyzing the equipment influence energy storage degree data to obtain an equipment influence energy storage degree evaluation index.
Further, the specific analysis process of the usage degree influencing the energy storage evaluation index is as follows: acquiring using degree influence energy storage data and performing data cleaning and pretreatment; acquiring all equipment average aging degree data of which the using degree influences the energy storage data, sequentially arranging the equipment average aging degree data in sequence from large to small, extracting the equipment average aging degree data of the first rank of the equipment average aging degree data, taking the equipment average aging degree data as equipment average aging degree maximum value data, extracting the equipment average aging degree data of the last rank of the equipment average aging degree data, and taking the equipment average aging degree data as equipment average aging degree minimum value data; and analyzing the degree influence energy storage data to obtain a use degree influence energy storage evaluation index.
Further, the specific method for obtaining the energy storage condition evaluation index comprises the following steps: dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas; setting a plurality of time observation points, and numbering the time observation points; acquiring energy storage monitoring index data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index; constructing an energy storage condition evaluation index calculation formula; the specific calculation formula of the energy storage condition evaluation index is as follows: in the above, the ratio of/> Expressed as the target area at the/>Energy storage condition evaluation index of each time observation point,/>，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>Air quality at each time observation point influences the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>The devices at the time observation points influence the energy storage degree evaluation index,Expressed as/>The monitoring area is at the/>The use degree of each time observation point influences the energy storage evaluation index,/>Expressed as the weight proportion of the environmental condition influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the air quality influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the equipment influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the proportion of the weight of the energy storage condition assessment index in the energy storage condition assessment index is influenced by the degree of use.
Further, the specific acquisition method of the energy storage degree evaluation index influenced by the environmental conditions comprises the following steps: dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas; setting a plurality of time observation points, and numbering the time observation points; carrying out multiple data acquisition at each time observation point, and numbering the data acquisition times; acquiring data of the energy storage degree influenced by environmental conditions; constructing an environmental condition influence energy storage degree evaluation index calculation formula; the specific calculation formula of the energy storage degree evaluation index influenced by the environmental conditions is as follows: In which, in the process, Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Denoted as the firstThe monitoring area is at the/>The/>, of the time observation pointThe altitude data of the monitored area at the time of the secondary data acquisition,，/>Expressed as total number of data acquisitions,/>Represented as air compression stored energy region standard height data,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area air pressure density data in secondary data acquisition process,/>Expressed as/>The monitoring area is at the/>Monitoring area air pressure density standard data of each time observation point,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area temperature data in secondary data acquisition process,/>Expressed as/>The monitoring area is at the/>Monitoring area temperature standard data of each time observation point,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area humidity data during secondary data acquisition,/>Expressed as/>The monitoring area is at the/>Humidity standard data of monitoring area of each time observation point,/>Expressed as the weight proportion of the altitude data of the monitored area in the evaluation index of the energy storage degree influenced by environmental conditions,/>Expressed as the weight proportion of the air pressure density data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the weight proportion of the temperature data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the proportion of the monitored area humidity data to the weight in the energy storage degree evaluation index affected by the environmental condition.
Further, the specific analysis process of analyzing the air compression energy storage condition according to the energy storage condition evaluation index and performing early warning reminding is as follows: acquiring an energy storage condition evaluation index of the target area at a time observation point, acquiring an energy storage condition evaluation threshold, and when the energy storage condition evaluation index is larger than the energy storage condition evaluation threshold, indicating that the air compression energy storage condition of the target area is good at the time observation point, and not carrying out early warning reminding; when the energy storage condition evaluation index is not greater than the energy storage condition evaluation threshold, the air compression energy storage condition of the target area is not good at the time observation point, and early warning and reminding are carried out.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. The air compression energy storage condition is analyzed according to the energy storage condition evaluation index, so that the air compression energy storage condition is quickly and efficiently clarified, and the problem that the air compression energy storage state is difficult to quickly clarify in the prior art is effectively solved.
2. The energy storage condition evaluation index is obtained through analysis of the four aspects of the environmental condition influence energy storage degree evaluation index, the air quality influence energy storage degree evaluation index, the equipment influence energy storage degree evaluation index and the use degree influence energy storage evaluation index, so that the energy storage condition evaluation index is more comprehensively considered, and the air compression energy storage condition is analyzed in more detail according to the energy storage condition evaluation index.
3. Through analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding, thereby enabling staff to timely find that the air compression energy storage condition is poor and make corresponding adjustment, and further realizing that the economic loss caused by the air compression energy storage condition is poor is reduced.
Drawings
FIG. 1 is a schematic diagram of an in-situ monitoring system based on air compression energy storage according to an embodiment of the present application;
FIG. 2 is a flow chart of obtaining an energy storage condition evaluation index in an in-situ monitoring system based on air compression energy storage according to an embodiment of the present application;
Fig. 3 is a block diagram of an energy storage condition evaluation index obtained in an on-site monitoring system based on air compression energy storage according to an embodiment of the present application.
Detailed Description
The embodiment of the application solves the problem that the air compression energy storage state is difficult to be quickly defined in the prior art by providing the on-site monitoring system based on the air compression energy storage, and monitors the target area on site and acquires the energy storage condition parameter data through the data acquisition module; obtaining an energy storage condition evaluation index according to the energy storage condition parameter data through an index obtaining module; the air compression energy storage condition is analyzed according to the energy storage condition evaluation index through the analysis module and early warning reminding is carried out, so that the air compression energy storage condition is quickly and efficiently clarified.
The technical scheme in the embodiment of the application aims to solve the problem that the air compression energy storage state is difficult to be quickly defined, and the overall thought is as follows:
The method comprises the steps of monitoring a target area in situ through a data acquisition module and acquiring energy storage condition parameter data; the energy storage condition evaluation index is obtained according to the energy storage condition parameter data through an index obtaining module, and the specific process is as follows: obtaining energy storage monitoring index data according to energy storage condition parameter data such as environmental condition influence energy storage degree data, air quality influence energy storage degree data, equipment influence energy storage degree data, usage degree influence energy storage data and the like, and obtaining energy storage condition evaluation indexes according to energy storage monitoring index data such as environmental condition influence energy storage degree evaluation indexes, air quality influence energy storage degree evaluation indexes, equipment influence energy storage degree evaluation indexes, usage degree influence energy storage evaluation indexes and the like; the air compression energy storage condition is analyzed and early-warning reminding is carried out through the analysis module according to the energy storage condition evaluation index, so that the effect of quickly and efficiently determining the air compression energy storage condition is achieved.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
As shown in fig. 1, a schematic structural diagram of an in-situ monitoring system based on air compression energy storage according to an embodiment of the present application is provided, where the in-situ monitoring system based on air compression energy storage according to an embodiment of the present application includes: the system comprises a data acquisition module, an index acquisition module and an analysis module; wherein, the data acquisition module: the method comprises the steps of monitoring a target area on site and acquiring energy storage condition parameter data; an index acquisition module: the method comprises the steps of obtaining an energy storage condition evaluation index according to energy storage condition parameter data, wherein the energy storage condition evaluation index is used for reflecting the state good degree of air compression energy storage of a target area; and an analysis module: and the system is used for analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding.
Further, the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage condition parameter data comprises the following steps: the method comprises the steps of monitoring a target area in real time and acquiring energy storage condition parameter data, wherein the energy storage condition parameter data comprise environmental condition influence energy storage degree data, air quality influence energy storage degree data, equipment influence energy storage degree data and use degree influence energy storage data; obtaining energy storage monitoring index data according to the energy storage condition parameter data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index; obtaining an energy storage condition evaluation index according to the energy storage monitoring index data; the environmental condition influence energy storage degree evaluation index is used for comprehensively evaluating the data of the influence degree of the environmental condition on the air compression energy storage through the altitude data of the monitoring area, the air pressure density data of the monitoring area, the temperature data of the monitoring area and the humidity data of the monitoring area; the air quality influence energy storage degree evaluation index is used for expressing data reflecting the influence degree of air quality on air compression energy storage through monitoring area particulate matter concentration data, monitoring area nitrogen oxide concentration data and monitoring area ozone concentration data; the equipment influence energy storage degree evaluation index is used for describing data for evaluating the influence degree of the running state of the air compression energy storage equipment on the air compression energy storage through the compressor average compression ratio data, the compressor average working efficiency data, the expander average power generation power data and the air compression energy storage efficiency data; the usage level impact energy storage evaluation index is used for indicating data reflecting the impact level of the maintenance level of the air compression energy storage device on the air compression energy storage through the equipment average aging level data, the equipment average appearance damage level data and the equipment average maintenance frequency data.
In this embodiment, as shown in fig. 2, a flowchart of obtaining an energy storage condition evaluation index in an on-site monitoring system based on air compression energy storage according to an embodiment of the present application is provided, where normalization processing, data cleaning, data conversion and preprocessing are performed on environmental condition influence energy storage degree data, air quality influence energy storage degree data, equipment influence energy storage degree data and usage degree influence energy storage data in energy storage condition parameter data, so that accuracy of energy storage condition parameter data is higher, and participation of energy storage condition parameter data in a calculation process is facilitated to be performed more accurately.
Further, the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage monitoring index data comprises the following steps: acquiring energy storage monitoring index data, and when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is larger than a first threshold value or the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is smaller than a second threshold value, indicating that the energy storage monitoring index data is abnormal, and recalculating the energy storage monitoring index data; when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is not greater than a first threshold value and the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is not less than a second threshold value, the energy storage monitoring index data is indicated to be normal; and analyzing the normal energy storage monitoring index data to obtain an energy storage condition evaluation index.
In the present embodiment, when the ratio of the stored energy monitoring index data to the maximum value of the stored energy monitoring index data is greater than the first threshold value, i.e、/>、/>And/>Or when the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is smaller than the second threshold value, namely/>、/>、And/>And (5) representing the abnormality of the energy storage monitoring index data, and recalculating the energy storage monitoring index data.
When the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is not greater than the first threshold value and the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is not less than the second threshold value, namelyAnd is also provided with、/>And/>、/>And/>AndAnd/>And indicating that the energy storage monitoring index data is normal.
Expressed as maximum in the index of evaluation of the extent of energy storage by the influence of environmental conditions,/>Expressed as maximum in the air quality impact energy storage degree assessment index,/>Represented as the maximum value in the device impact energy storage degree evaluation index,Expressed as the degree of use affects the maximum in the energy storage assessment index,/>Expressed as the minimum in the index of evaluation of the extent of energy storage by the influence of environmental conditions,/>Expressed as the minimum in the air quality impact energy storage degree assessment index,/>Expressed as the minimum in the device impact energy storage extent assessment index,/>Expressed as the minimum in the usage level impact energy storage assessment index. For example, all the environmental condition influence energy storage degree evaluation indexes are obtained, the environmental condition influence energy storage degree evaluation indexes are arranged in the order from the top to the bottom, the environmental condition influence energy storage degree evaluation index at the first name is used as the maximum value of the environmental condition influence energy storage degree evaluation indexes, and the environmental condition influence energy storage degree evaluation index at the last name is used as the minimum value of the environmental condition influence energy storage degree evaluation indexes.
Further, the specific analysis process of the energy storage degree evaluation index influenced by the environmental conditions is as follows: acquiring data of the energy storage degree influenced by environmental conditions and carrying out normalization processing; and comparing the altitude data of the monitoring area in the environmental condition influence energy storage degree data with the standard altitude data of the air compression energy storage area, comparing the air pressure density data of the monitoring area with the air pressure density standard data of the monitoring area, comparing the temperature data of the monitoring area with the temperature standard data of the monitoring area, comparing the humidity data of the monitoring area with the humidity standard data of the monitoring area, and comprehensively analyzing the comparison result to obtain the evaluation index of the environmental condition influence energy storage degree.
In the embodiment, the environmental condition influence energy storage degree data is normalized, so that the environmental condition influence energy storage degree data is unified in magnitude and range, the environmental condition influence energy storage degree evaluation index can be calculated more accurately, and the environmental condition influence energy storage degree evaluation index with higher accuracy is obtained.
Further, the specific analysis process of the air quality influence energy storage degree evaluation index is as follows: acquiring data of the energy storage degree affected by air quality and performing data processing; comparing the monitoring area particulate matter concentration data in the air quality influence energy storage degree with the monitoring area particulate matter concentration standard data, and comparing the monitoring area nitrogen oxide concentration data with the monitoring area nitrogen oxide concentration standard data, and comparing the monitoring area ozone concentration data with the monitoring area ozone concentration standard data; and analyzing the air quality influence energy storage degree data to obtain an air quality influence energy storage degree evaluation index.
In this embodiment, the data processing is performed on the air quality influence energy storage degree data, where the data processing includes data integration, data organization, data storage and data conversion, so that the error rate of the air quality influence energy storage degree data is reduced, which is favorable for obtaining an air quality influence energy storage degree evaluation index with higher accuracy.
Further, the specific analysis process of the device influence energy storage degree evaluation index is as follows: acquiring data of the equipment influence energy storage degree, and quantifying the data in the data of the equipment influence energy storage degree to the same magnitude; obtaining the compression ratio of all compressors of the monitoring area at the time observation point, carrying out average value processing to obtain an average compression ratio, and taking the average compression ratio as average compression ratio data of the compressors; the working efficiency of all compressors is obtained, average working efficiency is obtained by average processing, and the average working efficiency is used as average working efficiency data of the compressors; acquiring the power generation power of all the expanders, performing average processing to obtain average power generation power, and taking the average power generation power as the average power generation power of the expanders; and analyzing the equipment influence energy storage degree data to obtain an equipment influence energy storage degree evaluation index.
In the embodiment, the data in the equipment influence energy storage degree data are quantized to the same magnitude, so that the data in the equipment influence energy storage degree data are in the same magnitude and range, the calculation process is more accurately performed, the error rate in the calculation process is reduced, and the accuracy of the equipment influence energy storage degree evaluation index is improved.
Further, the specific analysis process of using degree to influence the energy storage evaluation index is as follows: acquiring using degree influence energy storage data and performing data cleaning and pretreatment; acquiring all equipment average aging degree data of which the using degree influences the energy storage data, sequentially arranging the equipment average aging degree data in sequence from large to small, extracting the equipment average aging degree data of the first rank of the equipment average aging degree data, taking the equipment average aging degree data as equipment average aging degree maximum value data, extracting the equipment average aging degree data of the last rank of the equipment average aging degree data, and taking the equipment average aging degree data as equipment average aging degree minimum value data; and analyzing the degree influence energy storage data to obtain a use degree influence energy storage evaluation index.
In this embodiment, the aging degrees of all the devices are obtained and subjected to mean processing to obtain average aging degrees, and the average aging degrees are used as the average aging degree data of the devices, that is, the average aging degree data of the devices is obtained. The data processing is carried out on the usage degree influence energy storage data, so that the error rate of the usage degree influence energy storage data is reduced, the accuracy of the usage degree influence energy storage data is improved, and the usage degree influence energy storage evaluation index with higher accuracy is obtained.
Further, the specific acquisition method of the energy storage condition evaluation index comprises the following steps: dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas; setting a plurality of time observation points, and numbering the time observation points; acquiring energy storage monitoring index data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index; constructing an energy storage condition evaluation index calculation formula; the energy storage condition assessment index may be obtained using the following means, including but not limited to: based on thermodynamic and hydrodynamic principles, analyzing how parameters such as temperature, humidity, air quality and the like change physical properties of air, thereby influencing energy conversion efficiency in compression and expansion processes; establishing or improving mathematical models of the air compression energy storage system, including physical property models of air, energy conversion models of compression and expansion processes, influence models of equipment aging and the like, and simulating the performances of the air compression energy storage system under different environmental conditions by using the models; the energy storage condition evaluation index can also be obtained by a calculation formula, and the specific energy storage condition evaluation index calculation formula is as follows: in the above, the ratio of/> Expressed as the target area at the/>Energy storage condition evaluation index of each time observation point,/>，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>Air quality at each time observation point influences the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>The devices at the time observation points influence the energy storage degree evaluation index,Expressed as/>The monitoring area is at the/>The use degree of each time observation point influences the energy storage evaluation index,/>Expressed as the weight proportion of the environmental condition influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the air quality influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the equipment influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the proportion of the weight of the energy storage condition assessment index in the energy storage condition assessment index is influenced by the degree of use.
In the present embodiment of the present invention, in the present embodiment,、/>、/>And/>The values of (2) are (0, 1), and satisfy/>、/>、/>And/>The sum is equal to 1. As shown in fig. 3, a structure diagram of an energy storage condition evaluation index is obtained in the on-site monitoring system based on air compression energy storage provided by the embodiment of the application, and the energy storage condition evaluation index is obtained by analyzing four aspects of an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a usage degree influence energy storage evaluation index, so that the energy storage condition evaluation index is considered more comprehensively, and the accuracy of the energy storage condition evaluation index is higher.
Further, the specific acquisition method of the energy storage degree evaluation index influenced by the environmental conditions comprises the following steps: dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas; setting a plurality of time observation points, and numbering the time observation points; carrying out multiple data acquisition at each time observation point, and numbering the data acquisition times; acquiring data of the energy storage degree influenced by environmental conditions; constructing an environmental condition influence energy storage degree evaluation index calculation formula; the environmental condition impact energy storage level assessment index may be obtained using the following means, including but not limited to: analyzing how the physical properties of the air change under different altitude, air pressure and temperature conditions and how the changes influence the performance of the air compression energy storage system by using the existing aerodynamic, thermodynamic and hydrodynamic models; under the conditions of different altitudes, air pressure and temperature, performing experimental tests on the air compression energy storage system, collecting operation data, comparing and analyzing the experimental data, and evaluating the specific influence of environmental factors on the performance of the air compression energy storage system; the energy storage degree evaluation index can also be obtained by a calculation formula, and the specific environmental condition influence energy storage degree evaluation index calculation formula is as follows: in the above, the ratio of/> Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,/>，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area altitude data during secondary data acquisition, wherein the monitoring area altitude data represents data represented by the altitude of the monitoring area,/>，/>Expressed as total number of data acquisitions,/>Data representing the standard altitude of the region where air compression energy storage is performed,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area air pressure density data during secondary data acquisition, wherein the monitoring area air pressure density data represents data represented by air pressure density of a monitoring area,/>Expressed as/>The monitoring area is at the/>Monitoring area air pressure density standard data of each time observation point, wherein the monitoring area air pressure density standard data represent data represented by standard air pressure density of a monitoring area,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area temperature data during secondary data acquisition, wherein the monitoring area temperature data represents data represented by the temperature of a monitoring area,/>Expressed as/>The monitoring area is at the/>Monitoring area temperature standard data of each time observation point, wherein the monitoring area temperature standard data represents data represented by standard temperature of a monitoring area,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area humidity data during secondary data acquisition, wherein the monitoring area humidity data represents data represented by humidity of a monitoring area,/>Expressed as/>The monitoring area is at the/>Monitoring area humidity standard data of each time observation point, wherein the monitoring area humidity standard data represents data represented by standard humidity of a monitoring area,/>Expressed as the weight proportion of the altitude data of the monitored area in the evaluation index of the energy storage degree influenced by environmental conditions,/>Expressed as the weight proportion of the air pressure density data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the weight proportion of the temperature data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the proportion of the monitored area humidity data to the weight in the energy storage degree evaluation index affected by the environmental condition.
In the present embodiment of the present invention, in the present embodiment,、/>、/>And/>The values of (2) are (0, 1), and satisfy/>、/>、/>And/>The sum is equal to 1. The larger the environmental condition influence energy storage degree evaluation index is, the lighter the influence degree of the environmental condition on the air compression energy storage is, and the better the air compression energy storage condition is; the smaller the environmental condition influence energy storage degree evaluation index is, the heavier the influence degree of the environmental condition on the air compression energy storage is, and the worse the air compression energy storage condition is. In high altitude areas, the operation performance of the air compression energy storage device may be affected due to the decrease of air pressure and temperature, and thus it is necessary to set time observation points and monitoring areas for more detailed observation.
Obtaining the area with the best air compression energy storage effect by referring to the data, obtaining the altitude, air pressure density, temperature and humidity data from the area, transmitting radar waves from an airplane or a satellite by using an aviation radar and a satellite radar, reflecting the radar waves after the radar waves strike the ground, and determining the vertical distance between the airplane or the satellite and the ground by calculating the time difference between the transmission and the reception of the radar waves to obtain the altitude, namely the standard altitude data of the area for air compression energy storage; the air pressure can be measured by an electronic barometer, a mercury barometer, a spring barometer and the like, so that air pressure density standard data of a monitoring area can be obtained; the temperature standard data of the monitoring area is obtained through temperature meters, including electronic temperature meters, thermocouples, thermistors (such as NTC thermistors), infrared temperature meters and the like; and measuring temperature data by a capacitance hygrometer, a resistance hygrometer, a hair hygrometer and the like to obtain humidity standard data of a monitoring area. The altitude data of the monitoring area, the air pressure density data of the monitoring area, the temperature data of the monitoring area and the humidity data of the monitoring area can also be obtained through the equipment.
Further, the specific analysis process of analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding comprises the following steps: acquiring an energy storage condition evaluation index of the target area at a time observation point, acquiring an energy storage condition evaluation threshold, and when the energy storage condition evaluation index is larger than the energy storage condition evaluation threshold, indicating that the air compression energy storage condition of the target area is good at the time observation point, and not carrying out early warning reminding; when the energy storage condition evaluation index is not greater than the energy storage condition evaluation threshold, the air compression energy storage condition of the target area is not good at the time observation point, and early warning and reminding are carried out.
In the present embodiment, when the stored energy condition evaluation index is greater than the stored energy condition evaluation threshold, i.e.When the time is measured, the air compression energy storage condition of the target area is good, and early warning and reminding are not carried out; when the energy storage condition assessment index is not greater than the energy storage condition assessment threshold, i.e./>And when the time observation point is at the time, the air compression energy storage condition of the target area is not good, and early warning and reminding are carried out.
Further, the air quality impact energy storage degree assessment index may be obtained using the following means, including but not limited to: setting air quality monitoring instruments at key positions such as an inlet and an outlet of the air compression energy storage system and a combustion chamber, monitoring air quality indexes such as particle concentration, sulfur dioxide concentration, nitrogen oxide concentration and the like in real time, and evaluating the influence degree of air quality on air compression energy storage; establishing a mathematical model of the air compression energy storage system by using a computer simulation technology, simulating air compression energy storage changes under different air qualities, and analyzing the influence of the air quality on the condition compression energy storage; the energy storage degree evaluation index can also be obtained by a calculation formula, and the specific air quality influence energy storage degree evaluation index calculation formula is as follows: in the above, the ratio of/> Expressed as/>The monitoring area is at the/>Air quality at each time observation point influences the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area particulate matter concentration data during secondary data acquisition, wherein the monitoring area particulate matter concentration data represent data represented by particulate matter concentration of a monitoring area,/>Expressed as/>The monitoring area is at the/>Monitoring area particulate matter concentration standard data of each time observation point, wherein the monitoring area particulate matter concentration standard data represent data represented by standard particulate matter concentration of a monitoring area,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area nitrogen oxide concentration data during secondary data acquisition, wherein the monitoring area nitrogen oxide concentration data represent data represented by nitrogen oxide concentration of a monitoring area,/>Expressed as/>The monitoring area is at the/>The standard data of the nitrogen oxide concentration of the monitoring area at each time observation point represents the data represented by the standard nitrogen oxide concentration of the monitoring area,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area ozone concentration data during secondary data acquisition, wherein the monitoring area ozone concentration data represents data represented by ozone concentration of a monitoring area,/>Expressed as/>The monitoring area is at the/>Monitoring area ozone concentration standard data of each time observation point, wherein the monitoring area ozone concentration standard data represent data represented by standard ozone concentration of a monitoring area,/>Expressed as the weight proportion of particulate matter concentration data in a monitoring area in an air quality influence energy storage degree evaluation indexExpressed as the weight proportion of the nitrogen oxide concentration data of the monitoring area in the air quality influence energy storage degree evaluation index,/>The weight proportion of the ozone concentration data in the monitoring area in the air quality influence energy storage degree evaluation index is expressed;
、/> And/> The values of (2) are all in the range of (0, 1), and satisfy/>、/>And/>The sum is equal to 1. And (3) referring to an air compression energy storage emission standard specification, obtaining concentration data corresponding to emission standards reached by particulate matters, nitrogen oxides and ozone in the pollutants of the air compression energy storage, namely monitoring area particulate matter concentration standard data, monitoring area nitrogen oxide concentration standard data and monitoring area ozone concentration standard data.
The particle concentration data of the monitoring area, the nitrogen oxide concentration data of the monitoring area and the ozone concentration data of the monitoring area can be obtained through a gas analyzer, a particle counter, an ultraviolet spectrum technology and the like.
The device impact energy storage level assessment index may be obtained using the following means, including but not limited to: based on the principles of hydrodynamics and thermodynamics, analyzing energy conversion efficiency, equipment load and abrasion conditions under different compression ratios and expansion ratios, and evaluating energy storage efficiency; under laboratory conditions, an air compression energy storage experimental system is built, and system performances under different working conditions are tested by changing compression ratio and expansion ratio; the energy storage degree evaluation index can also be obtained by a calculation formula, and the specific equipment influence energy storage degree evaluation index calculation formula is as follows: in the above, the ratio of/> Expressed as/>The monitoring area is at the/>Equipment influence energy storage degree evaluation index of each time observation point,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointCompressor average compression ratio data during secondary data acquisition, the compressor average compression ratio data representing an average compression ratio of the compressor in the monitoring area,/>Expressed as/>The monitoring area is at the/>Compressor compression ratio standard data of each time observation point, wherein the compressor compression ratio standard data represents an average compression ratio standard value of a compressor in a monitoring area,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointCompressor average working efficiency data during secondary data acquisition, wherein the compressor average working efficiency data represents average working efficiency of the compressor in the monitoring area,/>Expressed as/>The monitoring area is at the/>Compressor working efficiency standard data of each time observation point, wherein the compressor working efficiency standard data represents standard working efficiency of the compressor in the monitoring area,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointExpander average power generation data during secondary data acquisition, wherein the expander average power generation data represents average power generation of the expander in the monitoring area,/>Expressed as/>The monitoring area is at the/>Expander power generation standard data of each time observation point, wherein the expander power generation standard data represents the standard power generation of the expander in the monitoring area,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointAir compression energy storage efficiency data during secondary data acquisition, wherein the air compression energy storage efficiency data represents the efficiency of air compression energy storage in a monitoring area,/>Expressed as/>The monitoring area is at the/>Air compression energy storage efficiency standard data of each time observation point, wherein the air compression energy storage efficiency standard data represent standard efficiency of air compression energy storage in a monitoring area,/>Expressed as the weight proportion of the average compression ratio data of the compressor in the equipment influence energy storage degree evaluation index,/>, andExpressed as the weight proportion of the average working efficiency data of the compressor in the equipment influence energy storage degree evaluation index,/>, andExpressed as the weight proportion of the average power generation power data of the expansion machine in the equipment influence energy storage degree evaluation index,/>The weight proportion of the air compression energy storage efficiency data in the equipment influence energy storage degree evaluation index is expressed;
、/>、/> And/> The values of (2) are (0, 1), and satisfy/>、/>、/>And/>The sum is equal to 1. And obtaining the compressor compression ratio, the working efficiency of the compressor, the power generation of the expander and the air compression energy storage efficiency under the normal operation condition by consulting the related use instruction of the air compression energy storage, namely obtaining the compressor compression ratio standard data, the compressor working efficiency standard data, the power generation of the expander standard data and the air compression energy storage efficiency standard data. /(I)
The average compression ratio data of the compressor, the average working efficiency data of the compressor, the average power generation power data of the expander and the air compression energy storage efficiency data are obtained by measuring and counting machines in a monitoring area through pressure equipment.
The usage level impact energy storage assessment index may be obtained using the following means, including but not limited to: evaluating the influence degree of equipment aging and insufficient maintenance on air compression energy storage by using tools such as a risk matrix; simulating the influence of equipment aging and maintenance strategies on system performance by using a computer simulation and prediction model; the energy storage evaluation index can also be obtained by a calculation formula, and the specific using degree influences the energy storage evaluation index calculation formula as follows: in the above, the ratio of/> Expressed as/>The monitoring area is at the/>The degree of usage of the individual time observation points influences the energy storage evaluation index,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointDevice average aging degree data during secondary data acquisition, wherein the device average aging degree data refers to data expressed by average aging degree of monitoring area devices,/>，Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMaximum data of the average aging degree of the equipment during secondary data acquisition, wherein the maximum data of the average aging degree of the equipment refers to data represented by the maximum average aging degree of equipment in a monitoring area, and the maximum average aging degree of the equipment is/are shown in the dataExpressed as/>The monitoring area is at the/>The/>, of the time observation pointMinimum data of the average aging degree of the equipment during secondary data acquisition, wherein the minimum data of the average aging degree of the equipment refers to data represented by the minimum average aging degree of equipment in a monitoring area, and the data is expressed by the average aging degree of the equipment in the monitoring areaExpressed as/>The monitoring area is at the/>The equipment average aging degree standard data of each time observation point refers to the data represented by the average aging degree standard value of the equipment in the monitoring area,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointDevice average appearance damage degree data during secondary data acquisition, wherein the device average appearance damage degree data refers to data representing the average appearance damage degree of the device in the monitoring area, and the data is expressed as the average appearance damage degree of the device in the monitoring areaExpressed as/>The monitoring area is at the/>Device average appearance damage degree standard data of each time observation point refers to data represented by an average appearance damage degree standard value of the device in the monitoring area,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointDevice average overhaul frequency data during secondary data acquisition, wherein the device average overhaul frequency data refers to data represented by average overhaul frequency of monitoring area devices, and is/are shown in the specificationExpressed as/>The monitoring area is at the/>Device average overhaul frequency standard data of each time observation point refers to data represented by an average overhaul frequency standard value of monitoring area device, and the device average overhaul frequency standard data is/areExpressed as the weight proportion of the mean aging degree data of the equipment in the energy storage evaluation index influenced by the use degreeExpressed as the weight proportion of the mean appearance damage degree data of the equipment in the energy storage evaluation index influenced by the use degreeThe average maintenance frequency data expressed as equipment affects the weight proportion in the energy storage evaluation index.
、/>And/>The values of (2) are (0, 1), and satisfy/>、/>And/>The sum is equal to 1. Ageing degree data are obtained through ageing degree testing of the equipment, average ageing degree data of the equipment are obtained through mean value processing, and ageing degree when the equipment reaches scrapping conditions is obtained through consulting an equipment use specification, namely the average ageing degree standard data of the equipment. The method comprises the steps of obtaining the surface damage area of equipment through a laser scanner, making a ratio of the area to the surface area of the equipment, taking the ratio as the average surface damage degree data of the equipment, obtaining the maximum surface damage area of the equipment and making a ratio of the maximum surface damage area of the equipment to the surface area of the equipment, wherein the ratio is the average surface damage degree standard data of the equipment. And (3) obtaining the average maintenance frequency data of the equipment by referring to the equipment maintenance record table and carrying out statistical calculation, and obtaining the standard maintenance frequency of the equipment by referring to the equipment maintenance instruction book, namely the average maintenance frequency standard data of the equipment.
In this embodiment, the larger the air quality influence energy storage degree evaluation index is, the lighter the influence degree of the air quality on the air compression energy storage is, and the better the air compression energy storage condition is; the smaller the air quality influence energy storage degree evaluation index is, the heavier the air quality influence degree is, and the worse the air compression energy storage condition is.
The larger the evaluation index of the equipment influence energy storage degree is, the lighter the influence degree of the equipment operation condition on the air compression energy storage is, and the better the air compression energy storage condition is; the smaller the evaluation index of the equipment influence energy storage degree is, the heavier the influence degree of the equipment operation condition on the air compression energy storage is, and the worse the air compression energy storage condition is.
The larger the usage degree influence energy storage evaluation index is, the lighter the equipment maintenance degree is, and the better the air compression energy storage condition is; the smaller the usage degree influence energy storage evaluation index is, the heavier the equipment maintenance degree is, and the worse the air compression energy storage condition is.
The technical scheme provided by the embodiment of the application at least has the following technical effects or advantages: relative to publication No.: in-situ monitoring system for energy storage of high-energy lithium battery disclosed in CN109904871A patent application, the energy storage condition evaluation index is obtained through analysis of four aspects of environmental condition influence energy storage degree evaluation index, air quality influence energy storage degree evaluation index, equipment influence energy storage degree evaluation index and use degree influence energy storage evaluation index, so that the energy storage condition evaluation index is considered more comprehensively, and further, the air compression energy storage condition is analyzed in more detail according to the energy storage condition evaluation index; relative to publication No.: according to the on-site monitoring and master station information double-checking method and device for the transformer substation disclosed by the CN114069862A patent application, the air compression energy storage condition is analyzed according to the energy storage condition evaluation index and early warning reminding is carried out, so that a worker can timely find out that the air compression energy storage condition is poor and make corresponding adjustment, and further economic loss caused by the poor air compression energy storage condition is reduced.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of systems, apparatuses (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. In-situ monitoring system based on air compression energy storage, characterized in that it comprises: the system comprises a data acquisition module, an index acquisition module and an analysis module;
wherein, the data acquisition module: the method comprises the steps of monitoring a target area on site and acquiring energy storage condition parameter data;
the index acquisition module: the method comprises the steps of obtaining an energy storage condition evaluation index according to energy storage condition parameter data, wherein the energy storage condition evaluation index is used for reflecting the state good degree of air compression energy storage of a target area;
the analysis module: and the system is used for analyzing the air compression energy storage condition according to the energy storage condition evaluation index and carrying out early warning reminding.
2. The in-situ monitoring system based on air compression energy storage as claimed in claim 1, wherein the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage condition parameter data is:
The method comprises the steps of monitoring a target area in real time and acquiring energy storage condition parameter data, wherein the energy storage condition parameter data comprise environmental condition influence energy storage degree data, air quality influence energy storage degree data, equipment influence energy storage degree data and use degree influence energy storage data;
obtaining energy storage monitoring index data according to the energy storage condition parameter data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index;
Obtaining an energy storage condition evaluation index according to the energy storage monitoring index data;
the environmental condition influence energy storage degree evaluation index is used for comprehensively evaluating the data of the influence degree of the environmental condition on the air compression energy storage through the altitude data of the monitoring area, the air pressure density data of the monitoring area, the temperature data of the monitoring area and the humidity data of the monitoring area;
The air quality influence energy storage degree evaluation index is used for expressing data reflecting the influence degree of air quality on air compression energy storage through monitoring area particulate matter concentration data, monitoring area nitrogen oxide concentration data and monitoring area ozone concentration data;
The equipment influence energy storage degree evaluation index is used for describing data for evaluating the influence degree of the running state of the air compression energy storage equipment on the air compression energy storage through the compressor average compression ratio data, the compressor average working efficiency data, the expander average power generation power data and the air compression energy storage efficiency data;
the usage degree influence energy storage evaluation index is used for reflecting the data of the influence degree of the maintenance degree of the air compression energy storage device on the air compression energy storage through the data of the average aging degree of the device, the data of the average appearance damage degree of the device and the data of the average maintenance times of the device.
3. The in-situ monitoring system based on air compression energy storage of claim 2, wherein the specific analysis process for obtaining the energy storage condition evaluation index according to the energy storage monitoring index data is:
Acquiring energy storage monitoring index data, and when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is larger than a first threshold value or the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is smaller than a second threshold value, indicating that the energy storage monitoring index data is abnormal, and recalculating the energy storage monitoring index data;
when the ratio of the energy storage monitoring index data to the maximum value of the energy storage monitoring index data is not greater than a first threshold value and the ratio of the energy storage monitoring index data to the minimum value of the energy storage monitoring index data is not less than a second threshold value, the energy storage monitoring index data is indicated to be normal;
and analyzing the normal energy storage monitoring index data to obtain an energy storage condition evaluation index.
4. The air compression energy storage based on-site monitoring system as set forth in claim 2, wherein the specific analysis process of the environmental condition influence energy storage degree evaluation index is:
acquiring data of the energy storage degree influenced by environmental conditions and carrying out normalization processing;
And comparing the altitude data of the monitoring area in the environmental condition influence energy storage degree data with the standard altitude data of the air compression energy storage area, comparing the air pressure density data of the monitoring area with the air pressure density standard data of the monitoring area, comparing the temperature data of the monitoring area with the temperature standard data of the monitoring area, comparing the humidity data of the monitoring area with the humidity standard data of the monitoring area, and comprehensively analyzing the comparison result to obtain the evaluation index of the environmental condition influence energy storage degree.
5. The in-situ monitoring system based on air compression energy storage of claim 2, wherein the specific analysis process of the air quality impact energy storage degree assessment index is as follows:
Acquiring data of the energy storage degree affected by air quality and performing data processing;
Comparing the monitoring area particulate matter concentration data in the air quality influence energy storage degree with the monitoring area particulate matter concentration standard data, and comparing the monitoring area nitrogen oxide concentration data with the monitoring area nitrogen oxide concentration standard data, and comparing the monitoring area ozone concentration data with the monitoring area ozone concentration standard data;
and analyzing the air quality influence energy storage degree data to obtain an air quality influence energy storage degree evaluation index.
6. The air compression energy storage based on-site monitoring system as set forth in claim 2, wherein the specific analysis process of the device impact energy storage degree evaluation index is as follows:
acquiring data of the equipment influence energy storage degree, and quantifying the data in the data of the equipment influence energy storage degree to the same magnitude;
Obtaining the compression ratio of all compressors of the monitoring area at the time observation point, carrying out average value processing to obtain an average compression ratio, and taking the average compression ratio as average compression ratio data of the compressors;
The working efficiency of all compressors is obtained, average working efficiency is obtained by average processing, and the average working efficiency is used as average working efficiency data of the compressors;
acquiring the power generation power of all the expanders, performing average processing to obtain average power generation power, and taking the average power generation power as the average power generation power of the expanders;
and analyzing the equipment influence energy storage degree data to obtain an equipment influence energy storage degree evaluation index.
7. The in-situ monitoring system based on air compression energy storage of claim 2, wherein the specific analysis process of the usage level impact energy storage evaluation index is as follows:
acquiring using degree influence energy storage data and performing data cleaning and pretreatment;
Acquiring all equipment average aging degree data of which the using degree influences the energy storage data, sequentially arranging the equipment average aging degree data in sequence from large to small, extracting the equipment average aging degree data of the first rank of the equipment average aging degree data, taking the equipment average aging degree data as equipment average aging degree maximum value data, extracting the equipment average aging degree data of the last rank of the equipment average aging degree data, and taking the equipment average aging degree data as equipment average aging degree minimum value data;
And analyzing the degree influence energy storage data to obtain a use degree influence energy storage evaluation index.
8. The in-situ monitoring system based on air compression energy storage as claimed in claim 1, wherein the specific acquisition method of the energy storage condition evaluation index is as follows:
Dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas;
Setting a plurality of time observation points, and numbering the time observation points;
Acquiring energy storage monitoring index data, wherein the energy storage monitoring index data comprises an environmental condition influence energy storage degree evaluation index, an air quality influence energy storage degree evaluation index, an equipment influence energy storage degree evaluation index and a use degree influence energy storage evaluation index;
constructing an energy storage condition evaluation index calculation formula;
the specific calculation formula of the energy storage condition evaluation index is as follows:
，
In the method, in the process of the invention, Expressed as the target area at the/>Energy storage condition evaluation index of each time observation point,/>，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>Air quality at each time observation point influences the energy storage degree evaluation index,/>Expressed as/>The monitoring area is at the/>Equipment influence energy storage degree evaluation index of each time observation point,/>Expressed as/>The monitoring area is at the/>The use degree of each time observation point influences the energy storage evaluation index,/>Expressed as the weight proportion of the environmental condition influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the air quality influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the weight proportion of the equipment influence energy storage degree evaluation index in the energy storage condition evaluation index,/>Expressed as the proportion of the weight of the energy storage condition assessment index in the energy storage condition assessment index is influenced by the degree of use.
9. The in-situ monitoring system based on air compression energy storage as claimed in claim 2, wherein the specific acquisition method of the environmental condition influence energy storage degree evaluation index is as follows:
Dividing the target area into a plurality of monitoring areas, and numbering the monitoring areas;
Setting a plurality of time observation points, and numbering the time observation points;
carrying out multiple data acquisition at each time observation point, and numbering the data acquisition times;
Acquiring data of the energy storage degree influenced by environmental conditions;
constructing an environmental condition influence energy storage degree evaluation index calculation formula;
the specific calculation formula of the energy storage degree evaluation index influenced by the environmental conditions is as follows:
，
In the method, in the process of the invention, Expressed as/>The monitoring area is at the/>Environmental conditions at each time observation point influence the energy storage degree evaluation index,/>，/>Expressed as total number of monitored areas,/>，/>Expressed as the total number of time observation points,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointThe altitude data of the monitored area at the time of the secondary data acquisition,，/>Expressed as total number of data acquisitions,/>Represented as air compression stored energy region standard height data,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area air pressure density data in secondary data acquisition process,/>Expressed as/>The monitoring area is at the/>Monitoring area air pressure density standard data of each time observation point,/>Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area temperature data in secondary data acquisition process,/>Expressed as/>The monitoring area is at the/>Monitoring area temperature standard data of each time observation point,Expressed as/>The monitoring area is at the/>The/>, of the time observation pointMonitoring area humidity data during secondary data acquisition,/>Expressed as/>The monitoring area is at the/>Humidity standard data of monitoring area of each time observation point,/>Expressed as the weight proportion of the altitude data of the monitored area in the evaluation index of the energy storage degree influenced by environmental conditions,/>Expressed as the weight proportion of the air pressure density data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the weight proportion of the temperature data of the monitoring area in the evaluation index of the energy storage degree influenced by the environmental conditionExpressed as the proportion of the monitored area humidity data to the weight in the energy storage degree evaluation index affected by the environmental condition.
10. The on-site monitoring system based on air compression energy storage as claimed in claim 1, wherein the specific analysis process of analyzing the air compression energy storage condition according to the energy storage condition evaluation index and performing early warning reminding is as follows:
Acquiring an energy storage condition evaluation index of the target area at a time observation point, acquiring an energy storage condition evaluation threshold, and when the energy storage condition evaluation index is larger than the energy storage condition evaluation threshold, indicating that the air compression energy storage condition of the target area is good at the time observation point, and not carrying out early warning reminding;
when the energy storage condition evaluation index is not greater than the energy storage condition evaluation threshold, the air compression energy storage condition of the target area is not good at the time observation point, and early warning and reminding are carried out.
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