CN116644941A - Industrial energy planning system based on Internet of things - Google Patents
Industrial energy planning system based on Internet of things Download PDFInfo
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Abstract
The industrial energy planning system based on the Internet of things comprises an acquisition unit, a calculation unit, a labeling unit, an analysis unit, a storage unit and a display unit, wherein the storage unit stores the maximum power generation amount of each thermal power generation station and a regional map comprising a first layer, a second layer, a third layer and a fourth layer; the method comprises the steps that an acquisition unit acquires electricity consumption information of each industrial user and electricity generation information of each electricity generation station in the Internet of things, and a calculation unit calculates estimated electricity consumption of each industrial user and estimated electricity generation amount of each non-thermal power generation station; the marking unit marks the power consumption information on the second layering, and the calculating unit calculates the sum of the total power generation amount of the required thermal power generation stations and the maximum power generation amount of each thermal power generation station; the analysis unit determines thermal power generation planning information or power generation construction planning information of the thermal power generation site based on the division mechanism, and the labeling unit labels the thermal power generation planning information or the power generation construction planning information on the corresponding layering of the regional map to obtain a demand map; the display unit displays a demand map.
Description
Technical Field
The invention relates to the technical field of measurement, in particular to an industrial energy planning system based on the Internet of things.
Background
Along with the rapid development of economy and society and the increasing of the living standard of people, the power supply and use have penetrated into various aspects of economy and society and people living, the rapid construction of the power industry can also drive the rapid development of national economy, and the construction of a power station directly influences the living and the electricity consumption of the people.
In the current stage, industrial electricity consumption and domestic electricity consumption are increased in a straight line, electricity consumption requirements in the electricity consumption peak period are synchronously increased, the current electricity consumption planning cannot comprehensively consider the electricity consumption requirements, and the electricity consumption peak period can only adopt electricity limiting to meet the electricity consumption requirements of partial areas.
At present, the electricity consumption planning mainly utilizes the change of historical electricity consumption to estimate the electricity consumption requirement of the next electricity consumption peak period, and the obtained result cannot obtain accurate electricity consumption requirement according to the expansion of industrial enterprises and the progress of national industry, so that the future electricity consumption requirement is accurately planned. Or a complex algorithm is adopted, and the complex algorithm is often based on huge data volume, if the data volume is insufficient, the accuracy of the algorithm is affected, the accuracy of power utilization planning is further affected, the expected result cannot be achieved, and the development of the current industry in China is affected.
Accordingly, the problems of the prior art are to be further improved and developed.
Disclosure of Invention
(one) object of the invention: in order to solve the problems in the prior art, the invention aims to provide an industrial energy planning system based on the Internet of things.
(II) technical scheme: in order to solve the technical problems, the technical scheme provides an industrial energy planning system based on the Internet of things, which is used for production planning of the power industry and comprises an acquisition unit, a calculation unit, a labeling unit, an analysis unit, a storage unit and a display unit, wherein the storage unit stores a maximum power generation amount of each thermal power generation station and a regional map of a target region, the regional map comprises a first layering, a second layering, a third layering and a fourth layering, and the first layering is a map of the target region;
after the acquisition unit acquires the electricity consumption information of each industrial user and the power generation information of each power generation station in the target area of the Internet of things, the calculation unit calculates the estimated electricity consumption of each industrial user and the estimated electricity generation amount of each non-thermal power generation station;
the marking unit marks the power consumption information on the second layering of the regional map, and the calculating unit calculates the sum of the total power generation amount of the required thermal power generation stations and the maximum power generation amount of each thermal power generation station;
the analysis unit determines thermal power generation planning information or power generation construction planning information of the thermal power generation station based on a dividing mechanism according to the relation between the total power generation amount of the thermal power generation station and the maximum total power generation amount of the thermal power generation station, and the marking unit marks the thermal power generation planning information on a third layer of the regional map or marks the power generation construction planning information on a fourth layer of the regional map to obtain a demand map;
and the display unit displays the demand map.
The industrial energy planning system based on the Internet of things, wherein the electricity consumption comprises industrial users, electricity consumption levels of the industrial users, historical electricity consumption levels and electricity consumption scales, and the historical electricity consumption levels at least comprise electricity consumption levels of 3 electricity consumption periods;
the power generation information comprises a power generation station, the position of the power generation station, historical power generation amount, power generation type and associated data, and the historical power generation amount at least comprises power generation amount of 3 power generation periods.
The industrial energy planning system based on the Internet of things, wherein the calculation unit calculates the estimated power consumption of each industrial user according to the following formula:
S by using Representing estimated electricity consumption of industrial users; w (W) i Representing the historical power consumption per cycle (i=1, 2 … … n); n is the number of historical electricity utilization periods; n (N) i A historical electricity usage scale (i=1, 2 … … n) representing each electricity usage period; n' represents the current power usage scale.
The industrial energy planning system based on the Internet of things, wherein the storage unit stores a hydroelectric power station and lightPower generation standard value S of each power generation station and wind power station Label (C) And a comparison table of the power generation coefficients K corresponding to the hydroelectric power station, the light energy power station and the wind power station under different associated data;
when the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush For wind power plants, hydroelectric power plants and light energy power plants, the calculation formula is as follows:
when the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush In the case of a nuclear power plant, the calculation formula is as follows:
n is the number of historical electricity utilization periods; s is S Core i The power generation amount per history power cycle for the nuclear power generation site (i=1, 2 … … n).
The industrial energy planning system based on the Internet of things, wherein when the total power generation amount of the required thermal power generation stations is smaller than or equal to the maximum power generation amount of the thermal power station, the analysis unit determines thermal power generation planning information based on a division mechanism:
the analysis unit divides the target area into a plurality of first power supply planning areas according to the marking information in the second layering, each first power supply planning area at least comprises a non-thermal power generation site, the distance between an industrial user in each first power supply planning area and the non-thermal power generation site in the current first power supply planning area is smaller than a first distance threshold preset in the storage unit, and the power generation site in each first power supply planning area supplies electric quantity for the industrial user in the current first power supply planning area;
and the distance between the industrial user in each first thermal power supply supplementary area and the thermal power station in the current first thermal power supply supplementary area is smaller than a second distance threshold preset in the storage unit, and the maximum power generation amount of the thermal power station in the first thermal power supply supplementary area is larger than or equal to the difference between the sum of the estimated power consumption amounts of the industrial user in the current first thermal power supply supplementary area and the sum of the estimated power generation amounts of the non-thermal power stations.
According to the industrial energy planning system based on the Internet of things, the analysis unit calculates required thermal power generation capacity corresponding to a first thermal power supply supplementary area according to the estimated power generation capacity of a non-thermal power generation station in the first thermal power supply supplementary area and the estimated power consumption capacity of an industrial user;
the thermal power generation planning information comprises a first power supply planning area, a first thermal power supply supplementing area and required thermal power generation capacity corresponding to the first thermal power supply supplementing area.
The industrial energy planning system based on the Internet of things, wherein when the total power generation amount of the required thermal power generation station is larger than the maximum power generation amount of the thermal power station, the analysis unit determines power generation construction planning information based on a division mechanism:
the analysis unit divides the target area into a second thermal power supply supplementary area according to the marking information in the second layering;
the calculation unit calculates the sum of the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the non-thermal power generation station in each second thermal power supply supplementary area, and the difference between the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the industrial user is used as the estimated electric quantity lacking value in the current second thermal power supply supplementary area, and the current second thermal power supply supplementary area at the moment is the estimated electric quantity lacking area.
The industrial energy planning system based on the Internet of things, wherein the division of the second thermal power supply supplementary area is specifically that the analysis unit divides the second thermal power supply supplementary area by taking the position of a thermal power generation station as a circle center and taking a preset third distance as a radius;
taking the position of a thermal power station as a circle center, taking a preset fourth distance as a radius area, and taking the position of the thermal power station as a fixed partition of a second thermal power supply supplementary area, wherein the fixed partition is a variable partition;
the analysis unit adjusts the variable partition and determines a second thermal power supply supplementary area to which the variable partition belongs.
The industrial energy planning system based on the Internet of things comprises an analysis unit, a power generation unit and a power generation control unit, wherein the analysis unit judges a suitable non-thermal power generation site in a current second thermal power supply supplementary area according to a map of the current second thermal power supply supplementary area and related information acquired by the acquisition unit, and determines a target area of power generation station construction and a power generation type of the power generation station.
The industrial energy planning system based on the Internet of things further comprises an input unit, and the display unit can select and display the first layering, the second layering, the third layering and the fourth layering in the demand map in a combined mode according to the display command input by the input unit.
(III) beneficial effects: the industrial energy planning system based on the Internet of things provided by the invention accurately predicts the electricity consumption requirement of an enterprise by using a simple algorithm, avoids the result difference caused by insufficient data quantity, and plans different electricity consumption areas respectively by combining the electricity consumption requirement, so that the transmission loss is reduced, and meanwhile, the electricity generation of the different electricity consumption areas is accurately planned, and the waste of resources is avoided; in addition, the position and the type of the power generation station are subjected to construction planning according to actual needs, natural resources are fully utilized, and the power consumption requirement is guaranteed.
Drawings
FIG. 1 is a schematic diagram of an industrial energy planning system based on the Internet of things;
Detailed Description
The present invention will be described in further detail with reference to the preferred embodiments, and more details are set forth in the following description in order to provide a thorough understanding of the present invention, but it will be apparent that the present invention can be embodied in many other forms than described herein, and that those skilled in the art may make similar generalizations and deductions depending on the actual application without departing from the spirit of the present invention, and therefore should not be construed to limit the scope of the present invention in the context of this particular embodiment.
The drawings are schematic representations of embodiments of the invention, it being noted that the drawings are by way of example only and are not drawn to scale and should not be taken as limiting the true scope of the invention.
The industrial energy planning system based on the Internet of things predicts the electric energy demand of industrial users, and then plans the production capacity of the thermal power generation system according to the estimated capacity of the non-thermal power generation system. When the maximum capacity of the thermal power generation system does not meet the electric energy requirement of the current user, a construction plan is made for the power generation system so as to adapt to the electric energy requirement of the industrial user.
The thermal power generation system is a power generation site that relies on thermal power generation. The non-thermal power generation system comprises a wind power generation system, a hydraulic power generation system, a light energy power generation system, a nuclear power generation system and the like, and comprises corresponding non-thermal power generation sites.
The industrial energy planning system based on the Internet of things is used for production planning of the power industry and comprises an acquisition unit, a calculation unit, a labeling unit, an analysis unit, a storage unit, a display unit and an input unit.
After the acquisition unit acquires the electricity consumption information of each industrial user and the power generation information of each power generation station in the Internet of things, the calculation unit calculates the estimated electricity consumption of each industrial user and the estimated electricity generation amount of each non-thermal power generation station.
The electricity consumption includes industrial users, electricity consumption positions of the industrial users, historical electricity consumption, electricity consumption scale and the like, wherein the historical electricity consumption at least includes electricity consumption of 3 electricity consumption periods: the first history electricity consumption, the second history electricity consumption and the third history electricity consumption. The electricity usage scale may refer to the number of electricity usage devices in an industrial user or to the number of unit electricity usage devices of an industrial user. The electricity consumption scale comprises historical electricity consumption scales in one-to-one correspondence with the historical electricity consumption amounts: the first electricity scale, the second electricity scale, the third electricity scale, and the current electricity scale.
The power generation information includes a power generation site, a position of the power generation site, a historical power generation amount, a power generation type, associated data, and the like, wherein the historical power generation amount includes at least 3 power generation periods. The related data refers to information related to a power generation type, for example, the power generation type is wind power generation, and the corresponding related data is historical wind direction and wind power data of a position where a power generation station is located and predicted wind power information; the power generation type is hydroelectric power generation, and the corresponding associated data are historical precipitation data and water level information of the position of the power generation station, predicted precipitation, predicted water level information and the like; the power generation type is light energy power generation, and the corresponding associated data are information such as temperature and light intensity of the position of the power generation site, predicted temperature and light intensity and the like.
The collection unit includes first collection interface and second collection interface, first collection interface is arranged in acquireing among power consumption information and the electricity generation information and exists in the data information of thing networking, for example: industrial users of the target area, electricity utilization positions of the industrial users, electricity utilization scale, power generation sites of the target area, positions of the power generation sites, power generation types, associated data and the like. The second collection interface is used for obtaining low risk data information in the power grid, for example: the historical electricity consumption corresponding to the industrial user, the historical electricity generation of the corresponding electricity generation station, and the like.
The first acquisition unit sends an acquisition command of corresponding data information of the industrial user and the power generation station to the second acquisition interface according to the industrial user and the power generation station of the target area acquired by the first acquisition interface, and the second acquisition interface acquires the corresponding data information from the power grid.
And the second acquisition interface is connected with the power grid system, and is connected with the power grid system after the connection start verification is passed. The second acquisition interface is provided with a timer and a first connection time length, when the connection time of the second acquisition interface and the power grid system reaches the first connection time length, the second acquisition interface is disconnected with the power grid system, and if the second acquisition interface does not complete the acquisition of data information at the moment, an administrator needs to carry out connection starting verification again. Connection initiation authentication includes at least two ways of authentication in parallel, for example: and (3) password and biological verification, first password and second password verification and the like, so that the safe connection between the two acquisition interfaces and the power grid system is realized.
When the power generation site is a nuclear power generation site, the power generation information includes a position of the power generation site and a historical power generation amount including power generation amounts of a plurality of power utilization periods: first history power generation, second history power generation, third history power generation … …
When the power generation station is a thermal power generation station, the power generation information comprises the position and the load power generation amount of the power generation station, wherein the load power generation amount is the maximum power generation amount of the power generation station, and the load power generation amount can be acquired by the acquisition unit or input by the input unit.
The calculation unit calculates the estimated power consumption of each industrial user according to the following formula:
S by using Representing estimated electricity consumption of industrial users; w (W) i Representing the historical power consumption per cycle (i=1, 2 … … n); n (N) i A historical electricity usage scale (i=1, 2 … … n) representing each electricity usage period; n is the number of historical electricity utilization periods, and n is more than or equal to 3; n' represents the current power usage scale.
The storage unit stores the power generation standard values S of the hydroelectric power station, the optical power station and the wind power station Label (C) And a comparison table of the power generation coefficients K corresponding to the hydroelectric power station, the light energy power station and the wind power station under different associated data.
The comparison table of the power generation coefficients K corresponding to the wind power station is a table corresponding to different power generation coefficients K under different wind directions and different wind power, for example, the wind direction is perpendicular to the plane of the blade of the power generation windmill, the wind power is far away from the windmill fixing bracket towards the windmill blade, and when the wind power is 0 level, the annual power generation amount is the power generation standard value S Label (C) The corresponding power generation coefficient K at this time is equal to 1. The wind power grade can be divided according to the national standard of wind power grade issued by 2012, 6 months of China.
The corresponding generation coefficient K comparison table of the hydroelectric power station is that under different precipitation amounts and different water levelsTables corresponding to different power generation coefficients K, e.g. annual precipitation of 400mm, annual average water level of 0m, annual power generation of standard power generation S Label (C) The corresponding power generation coefficient K at this time is equal to 1.
The comparison table of the power generation coefficient K corresponding to the light energy power station is a table corresponding to different power generation coefficients K under different temperatures and different light intensities, for example, when the annual average temperature is 0 ℃ and the annual average illumination intensity is 100 watts square meter, the generated energy is the power generation standard value S Label (C) The corresponding power generation coefficient K at this time is equal to 1.
When the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush For wind power plants, hydroelectric power plants and light energy power plants, the calculation formula is as follows:
when the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush In the case of a nuclear power plant, the calculation formula is as follows:
n is the number of historical electricity utilization periods; s is S Core i The power generation amount per history power cycle for the nuclear power generation site (i=1, 2 … … n).
The calculation unit calculates the total power generation amount S of the required thermal power generation site Fire (fire) The calculation formula is as follows
S Hair general Is the sum of estimated power generation of non-thermal power stations in the power generation system.
The storage unit stores an area map of a target area and a maximum power generation amount of each thermal power generation site, the area map including a first hierarchy, a second hierarchy, a third hierarchy, and a fourth hierarchy.
The first hierarchy is a map of a target area; the second layering is used for marking electricity consumption basic information, and the electricity consumption basic information comprises an industrial user position, estimated electricity consumption corresponding to each industrial user, a position of each power generation station, estimated electricity generation amount and electricity generation type corresponding to each non-thermal power generation station and maximum electricity generation amount corresponding to the thermal power generation station; the third hierarchy is used for marking thermal power generation planning information, and the thermal power generation planning information comprises a first power supply planning area, a first thermal power supply supplementing area and required thermal power generation capacity corresponding to the first thermal power supply supplementing area; the fourth hierarchy is used for marking power generation construction planning information, and the power generation construction planning information comprises a power quantity estimated lack value corresponding to a power quantity estimated lack region and a power station construction target region.
The marking unit marks the electricity consumption basic information on the second hierarchical layer of the regional map, wherein the electricity consumption basic information comprises an industrial user position, estimated electricity consumption corresponding to each industrial user, a power generation site position, estimated electricity generation amount corresponding to each non-thermal power generation site, a power generation type and maximum electricity generation amount corresponding to a thermal power generation site.
The computing unit sums the maximum power generation amount of each thermal power station to obtain the maximum power generation amount S of the thermal power station Ignition of fire 。
When the total power generation amount S of the thermal power generation station is required Fire (fire) Less than or equal to the maximum power generation S of the thermal power station Ignition of fire When the analysis unit determines the power generation amount planning of the thermal power generation station based on the division mechanism: thermal power generation planning information.
The method can be realized by the following steps:
the analysis unit divides the target area into a plurality of first power supply planning areas according to the marking information in the second layering, each first power supply planning area at least comprises a non-thermal power generation site, and the power generation sites in each first power supply planning area supply electric quantity for industrial users in the current first power supply planning area.
The analysis unit divides the first power supply planning areas according to the principle that each first power supply planning area at least comprises one non-thermal power generation site, and the distance between an industrial user in each first power supply planning area and the non-thermal power generation site in the current first power supply planning area is smaller than a first distance threshold preset in the storage unit.
A plurality of adjacent first power supply planning areas form a first thermal power supply supplementing area, and each first thermal power supply supplementing area at least comprises a thermal power generation station. The distance between the industrial user in each first thermal power supply supplementary area and the thermal power generation station in the current first thermal power supply supplementary area is smaller than a second distance threshold preset in the storage unit. And the maximum power generation amount of the thermal power station in the first thermal power supply supplementing area is larger than or equal to the difference between the sum of the estimated power consumption amounts of the industrial users and the sum of the estimated power generation amounts of the non-thermal power stations in the current first thermal power supply supplementing area.
When the maximum power generation amount of the thermal power station in the first thermal power supply supplementing area is smaller than the difference between the sum of the estimated power consumption amounts of the industrial users and the sum of the estimated power generation amounts of the non-thermal power stations in the current first thermal power supply supplementing area, the analysis unit reclassifies the power supply planning area and the thermal power supply supplementing area.
The analysis unit calculates the required thermal power generation capacity corresponding to the first thermal power supply supplementary area according to the estimated power generation capacity of the non-thermal power generation station in the first thermal power supply supplementary area and the estimated power consumption capacity of the industrial user.
The labeling unit is used for labeling the divided thermal power generation planning information determined by the analysis unit: the first power supply planning area, the first thermal power supply supplementing area and the required thermal power generation amount corresponding to the first thermal power supply supplementing area are respectively marked on the third hierarchy of the area map.
The input unit can also input different thermal power generation planning information according to the demand map, and the marking unit marks the input thermal power generation planning information on a third layer of the regional map to obtain the demand map.
When the total power generation amount S of the thermal power generation station is required Fire (fire) Greater than the maximum power of the thermal power stationElectric quantity S Ignition of fire And the analysis unit determines power generation construction planning information based on a division mechanism. The power generation construction planning information comprises an electric quantity estimated missing value, an electric quantity estimated missing area, a power generation type of a power station and the like.
The analysis unit determines power generation construction planning information based on a neural network mechanism, and the power generation construction planning information can be realized in the following manner:
the analysis unit divides the target area into a second thermal power supply supplementary area according to the marking information in the second layering, and the specific division mode is as follows: the analysis unit divides the second thermal power supply supplementary area by taking the position of the thermal power station as the center of a circle and taking the preset third distance as the radius, wherein the fixed subarea of the second thermal power supply supplementary area is formed in the area taking the position of the thermal power station as the center of a circle and taking the preset fourth distance as the radius, and the variable subarea is formed by removing the fixed subarea. The analysis unit determines a second thermal power supply supplementary area to which the variable partition belongs according to the estimated total power consumption of industrial users in the fixed partition corresponding to the adjacent thermal power generation sites, the estimated total power generation of the non-thermal power generation sites and the maximum power generation of the corresponding thermal power generation sites, and specifically may determine the estimated lack value of the electric quantity required in the fixed partition or the variable partition in the second thermal power supply supplementary area. The third distance is greater than the fourth distance, preferably, the fourth distance is equal to or less than one half of the minimum distance between adjacent thermal power generation sites, and the third distance is equal to or greater than one half of the maximum distance between adjacent thermal power generation sites.
The calculation unit calculates the sum of the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the non-thermal power generation station in each second thermal power supply supplementary area, and the difference between the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the industrial user is used as the estimated electric quantity lacking value in the current second thermal power supply supplementary area, and the current second thermal power supply supplementary area at the moment is the estimated electric quantity lacking area.
And the analysis unit judges a proper non-thermal power generation site in the current second thermal power supply supplementary area according to the map of the current second thermal power supply supplementary area and the associated information acquired by the acquisition unit, and determines a target area for power station construction and a power generation type of the power station. For example, if the current second thermal power supply supplementary area has more rivers and different heights of river beds and large rainfall, the analysis unit takes the river area in the current second thermal power supply supplementary area as a target area for power station construction; the analysis unit takes the wind sand area in the current second thermal power supply supplementary area as a target area for power station construction; the temperature of the current second thermal power supply supplementary area is higher, the illumination intensity is higher, and then the analysis unit takes the area which is suitable for construction and is higher in the temperature and the illumination intensity in the current second thermal power supply supplementary area as a target area for power station construction.
And the labeling unit labels the electric quantity estimated lack value corresponding to the electric quantity estimated lack area (the second thermal power supply supplementary area) and the target area of power station construction on the fourth layer of the area map to obtain the demand map.
And the display unit displays the demand map.
The administrator can issue a power generation planning command or a power station construction command according to the displayed demand map, and layout the power generation demands in advance.
The display unit can select and combine the first layering, the second layering, the third layering and the fourth layering in the demand map according to the display command input by the input unit to obtain a combined map, and the display unit displays the combined map, so that the required information is displayed according to the requirement, and the interference of redundant information is avoided.
The industrial energy planning system based on the Internet of things can also be used for planning the electric quantity use of cities, and at the moment, the electric quantity use can be planned by regarding the electric period of a unified brand as an electric user or regarding the electric period of the same area as an electric user.
The industrial energy planning system based on the Internet of things combines the scale of the current industrial enterprise according to the historical electricity consumption condition, utilizes a simple algorithm, accurately predicts the electricity consumption requirement of the enterprise, not only avoids the result difference caused by insufficient data volume, but also can plan different electricity consumption areas respectively by combining the electricity consumption requirement, reduces transmission loss, simultaneously can accurately plan the electricity generation of the different electricity consumption areas, and avoids the waste of resources. In addition, the position and the type of the power generation station are planned according to actual needs, natural resources are fully utilized, and the situation that the power generation station cannot be timely delivered and power utilization is influenced due to construction period shortage is avoided while the power utilization needs are met.
The foregoing is a description of a preferred embodiment of the invention to assist those skilled in the art in more fully understanding the invention. However, these examples are merely illustrative, and the present invention is not to be construed as being limited to the descriptions of these examples. It should be understood that, to those skilled in the art to which the present invention pertains, several simple deductions and changes can be made without departing from the inventive concept, and these should be considered as falling within the scope of the present invention.
Claims (10)
1. The industrial energy planning system based on the Internet of things is used for production planning of the power industry and is characterized by comprising an acquisition unit, a calculation unit, a labeling unit, an analysis unit, a storage unit and a display unit, wherein the storage unit stores the maximum power generation amount of each thermal power generation station and a regional map of a target region, the regional map comprises a first layering, a second layering, a third layering and a fourth layering, and the first layering is the map of the target region;
after the acquisition unit acquires the electricity consumption information of each industrial user and the power generation information of each power generation station in the target area of the Internet of things, the calculation unit calculates the estimated electricity consumption of each industrial user and the estimated electricity generation amount of each non-thermal power generation station;
the marking unit marks the power consumption information on the second layering of the regional map, and the calculating unit calculates the sum of the total power generation amount of the required thermal power generation stations and the maximum power generation amount of each thermal power generation station;
the analysis unit determines thermal power generation planning information or power generation construction planning information of the thermal power generation station based on a dividing mechanism according to the relation between the total power generation amount of the thermal power generation station and the maximum total power generation amount of the thermal power generation station, and the marking unit marks the thermal power generation planning information on a third layer of the regional map or marks the power generation construction planning information on a fourth layer of the regional map to obtain a demand map;
and the display unit displays the demand map.
2. The internet of things-based industrial energy planning system of claim 1, wherein the electricity consumption comprises an industrial user, electricity consumption potential of the industrial user, historical electricity consumption, electricity consumption scale, the historical electricity consumption comprising at least 3 electricity consumption cycles;
the power generation information comprises a power generation station, the position of the power generation station, historical power generation amount, power generation type and associated data, and the historical power generation amount at least comprises power generation amount of 3 power generation periods.
3. The industrial energy planning system based on the internet of things according to claim 2, wherein the calculation unit calculates the estimated power consumption of each industrial user according to the following formula:
S by using Representing estimated electricity consumption of industrial users; w (W) i Representing the historical power consumption per cycle (i=1, 2 … … n); n (N) i A historical electricity usage scale (i=1, 2 … … n) representing each electricity usage period; n is the number of historical electricity utilization periods; n' represents the current power usage scale.
4. The internet of things-based industrial energy planning system according to claim 2, wherein the storage unit stores the power generation standard values S of the hydroelectric power plant, the optical power plant, and the wind power plant, respectively Label (C) And a comparison table of the power generation coefficients K corresponding to the hydroelectric power station, the light energy power station and the wind power station under different associated data;
when the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush For wind power plants, hydroelectric power plants and light energy power plants, the calculation formula is as follows:
when the non-thermal power station estimated power generation amount S calculated by the calculation unit Hair brush In the case of a nuclear power plant, the calculation formula is as follows:
n is the number of historical electricity utilization periods; s is S Core i The power generation amount per history power cycle for the nuclear power generation site (i=1, 2 … … n).
5. The internet of things-based industrial energy planning system according to claim 3 or 4, wherein the analysis unit determines the thermal power generation planning information based on the division mechanism when the total amount of power generation of the required thermal power generation site is equal to or less than the maximum power generation amount of the thermal power plant:
the analysis unit divides the target area into a plurality of first power supply planning areas according to the marking information in the second layering, each first power supply planning area at least comprises a non-thermal power generation site, the distance between an industrial user in each first power supply planning area and the non-thermal power generation site in the current first power supply planning area is smaller than a first distance threshold preset in the storage unit, and the power generation site in each first power supply planning area supplies electric quantity for the industrial user in the current first power supply planning area;
and the distance between the industrial user in each first thermal power supply supplementary area and the thermal power station in the current first thermal power supply supplementary area is smaller than a second distance threshold preset in the storage unit, and the maximum power generation amount of the thermal power station in the first thermal power supply supplementary area is larger than or equal to the difference between the sum of the estimated power consumption amounts of the industrial user in the current first thermal power supply supplementary area and the sum of the estimated power generation amounts of the non-thermal power stations.
6. The internet of things-based industrial energy planning system according to claim 5, wherein the analysis unit calculates the required thermal power generation capacity corresponding to the first thermal power supply supplementary area according to the estimated power generation capacity of the non-thermal power generation site in the first thermal power supply supplementary area and the estimated power consumption capacity of the industrial user;
the thermal power generation planning information comprises a first power supply planning area, a first thermal power supply supplementing area and required thermal power generation capacity corresponding to the first thermal power supply supplementing area.
7. The internet of things-based industrial energy planning system according to claim 3 or 4, wherein the analysis unit determines the power generation construction planning information based on a division mechanism when the total amount of power generation of the required thermal power generation site is greater than the maximum power generation amount of the thermal power plant:
the analysis unit divides the target area into a second thermal power supply supplementary area according to the marking information in the second layering;
the calculation unit calculates the sum of the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the non-thermal power generation station in each second thermal power supply supplementary area, and the difference between the maximum power generation amount of the thermal power generation station and the estimated power generation total amount of the industrial user is used as the estimated electric quantity lacking value in the current second thermal power supply supplementary area, and the current second thermal power supply supplementary area at the moment is the estimated electric quantity lacking area.
8. The internet of things-based industrial energy planning system according to claim 7, wherein the dividing of the second thermal power supply supplementary area is specifically that the analyzing unit divides the second thermal power supply supplementary area with a position of a thermal power station as a center and a preset third distance as a radius;
taking the position of a thermal power station as a circle center, taking a preset fourth distance as a radius area, and taking the position of the thermal power station as a fixed partition of a second thermal power supply supplementary area, wherein the fixed partition is a variable partition;
the analysis unit adjusts the variable partition and determines a second thermal power supply supplementary area to which the variable partition belongs.
9. The industrial energy planning system based on the internet of things according to claim 8, wherein the analysis unit judges a suitable non-thermal power generation site in the current second thermal power supply supplementary area according to the map of the current second thermal power supply supplementary area and the associated information collected by the collection unit, and determines a target area for power station construction and a power generation type of the power station.
10. The industrial energy planning system based on the internet of things according to claim 1, further comprising an input unit, wherein the display unit can select and combine and display a first hierarchy, a second hierarchy, a third hierarchy and a fourth hierarchy in the demand map according to a display command input by the input unit.
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