Comprehensive energy utilization system based on big data

Abstract

The invention discloses an energy comprehensive utilization system based on big data, relates to the technical field of energy comprehensive utilization, solves the technical problems that in the prior art, real-time risk assessment cannot be carried out, and feasibility of energy collaborative utilization cannot be ensured, and particularly relates to real-time risk assessment on collaborative utilization in the park operation process. According to the method, whether comprehensive energy utilization in the current park operation stage meets actual requirements or not is judged, the situation that the energy control efficiency is reduced due to the fact that the comprehensive energy utilization is abnormal is avoided, meanwhile, real-time energy utilization is evaluated to guarantee that the energy supply efficiency of the current park is monitored in real time, and the operation qualification and stability of the park are improved; the energy integration control is analyzed, and whether the energy integration control in the current park operation process is qualified or not is inferred, so that the performability of energy collaborative utilization is ensured, and the efficiency of park energy comprehensive utilization is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive energy utilization, and in particular to a comprehensive energy utilization system based on big data. Background Art

[0002] Comprehensive energy utilization refers to the optimal combination and efficient utilization of different types of energy through a variety of methods and technologies to meet energy needs to the greatest extent possible while reducing energy waste and environmental impact. As energy demand continues to grow, the reserves of traditional energy are gradually decreasing, and energy price fluctuations are intensifying. Comprehensive energy utilization can reduce dependence on a single energy source and improve the stability and reliability of energy supply.

[0003] However, in the existing technology, it is impossible to conduct collaborative demand analysis before the park energy supply is used, and it is impossible to analyze the collaborative utilization efficiency, so it is impossible to accurately judge whether the park energy needs to be used in a collaborative way. In addition, after the park energy is used, it is impossible to conduct real-time risk assessment and the feasibility of energy collaborative utilization cannot be ensured, resulting in a decrease in the comprehensive energy utilization performance.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an energy comprehensive utilization system based on big data.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An energy comprehensive utilization system based on big data, including an energy utilization platform, the energy utilization platform communication connection utilization front end and utilization back end:

[0008] The front-end connection includes: a collaborative real-time analysis unit, which is used to conduct collaborative real-time analysis of the park, collect information that needs collaborative utilization and active collaborative utilization, and infer whether the park needs collaborative utilization based on information analysis; a collaborative energy efficiency evaluation unit, which is used to evaluate the efficiency of energy collaborative utilization during the park operation process;

[0009] The back-end connection includes: a collaborative utilization real-time risk assessment unit, which is used to conduct real-time risk assessment of collaborative utilization during park operation, obtain collaborative utilization data, and substitute it into the formula to obtain the collaborative utilization risk assessment coefficient during park operation, and infer whether the risk assessment is normal based on the coefficient comparison;

[0010] The energy integrated control unit is used to analyze the energy integrated control, obtain the supply ratio information and the dispatch ratio information, and judge whether the integrated control is qualified during the park operation process based on the information comparison.

[0011] As a preferred embodiment of the present invention, the information requiring coordinated utilization and the information actively coordinated utilization are respectively the average span of the excess of actual non-renewable energy consumption over the preset consumption during the energy consumption stage during the operation of the park, and the frequency numerical ratio corresponding to the floating frequency of the proportion of energy supply to total energy consumption after the increase in non-renewable energy consumption during the energy consumption stage during the operation of the park using renewable energy.

[0012] As a preferred embodiment of the present invention, if the information required for collaborative utilization exceeds the threshold value of the average span of the excess increase, or the information actively collaboratively utilized exceeds the threshold value of the frequency value ratio, it is determined that energy collaborative utilization is required during the operation of the park;

[0013] If the information requiring collaborative utilization does not exceed the average span threshold of the excess increase, and the information on active collaborative utilization does not exceed the frequency value ratio threshold, it is determined that energy collaborative utilization is not required during the operation of the park.

[0014] As a preferred embodiment of the present invention, the operation process of the collaborative energy efficiency evaluation unit is as follows:

[0015] Obtain the real-time energy supply type during the historical operation of the park, specifically the power supply, cooling supply, and heating supply. Set the historical operation period of the park to T and divide the historical operation period of the park into t moments. According to the power calculation formula, the power supply D is obtained. L (t), cooling capacity G L (t) and heat supply R L The power at each moment (t) is marked as the power supply of each energy type as D L，T , Cooling capacity G L，T And the heating R L，T ;Right now

[0016] At the same time, the actual purchase amount of non-renewable energy and the actual supply of renewable energy during the historical operation period of the park are obtained, and the actual purchase amount of non-renewable energy and the actual supply of renewable energy during the historical operation period of the park are labeled GR and GY respectively; the above collected data are substituted into the formula to obtain the park's collaborative energy efficiency evaluation coefficient.

[0017] As a preferred implementation mode of the present invention, if the park collaborative energy efficiency evaluation coefficient exceeds the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is determined to be qualified, and an energy efficiency collaborative priority execution signal is generated;

[0018] If the park collaborative energy efficiency evaluation coefficient does not exceed the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is judged to be unqualified, and an energy efficiency collaboration pending execution signal is generated.

[0019] As a preferred embodiment of the present invention, the collaborative utilization data includes the duration of time when the energy supply cannot meet the current supply when renewable energy is hoarded during the energy collaborative utilization stage in the park operation process, the reciprocating floating frequency of the interval period corresponding to the supply moment when the set supply cannot be met during the renewable energy hoarding supply stage, and the numerical ratio of the actual energy supply of renewable energy collaboratively supplied during the energy collaborative stage in the park operation process to the actual energy generation of renewable energy, and the corresponding period overlap with the period of decrease in the energy saving of non-renewable energy during the park operation process.

[0020] As a preferred implementation of the present invention, if the collaborative utilization risk assessment coefficient during the park operation exceeds the collaborative utilization risk assessment coefficient threshold, it is determined that the collaborative utilization risk assessment during the park operation is abnormal;

[0021] If the collaborative utilization risk assessment coefficient during the operation of the park does not exceed the collaborative utilization risk assessment coefficient threshold, it is judged that the collaborative utilization risk assessment during the operation of the park is normal.

[0022] As a preferred embodiment of the present invention, the supply ratio information and the scheduling ratio information are respectively the corresponding numerical ratio of the energy conversion rate of the coordinated utilization of renewable energy during the operation of the park and the increase rate of the real-time renewable energy storage cumulative cost, and the corresponding numerical ratio of the corresponding real-time storage time of renewable energy in the scenario of coordinated utilization of energy during the operation of the park and the scheduling speed of renewable energy in the scenario of no dispatchable energy.

[0023] As a preferred embodiment of the present invention, if the supply ratio information exceeds the supply value ratio threshold, and the dispatch ratio information does not exceed the dispatch value ratio threshold, it is determined that the integrated control during the park operation is qualified, a qualified control signal is generated and the qualified control signal is sent to the energy utilization platform;

[0024] If the supply ratio information does not exceed the supply value ratio threshold, or the scheduling ratio information exceeds the scheduling value ratio threshold, it is determined that the integrated control during the park operation is unqualified, and an unqualified control signal is generated and sent to the energy utilization platform.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. In the present invention, a collaborative real-time analysis of the park is performed, and a collaborative judgment of the park is performed based on the collaborative utilization analysis of the energy needs and the collaborative utilization capabilities during the current park operation process, so as to infer whether the current park needs to be collaboratively utilized, ensure the rationality of the comprehensive utilization of energy in the park, avoid untimely energy supply, and prevent the increase in storage costs of energy utilization; an efficiency evaluation is performed on the collaborative utilization of energy during the park operation process, and the efficiency evaluation is used to determine whether the execution efficiency of the current collaborative utilization meets the actual energy supply demand, so as to avoid the expected energy saving of non-renewable energy after the cost of renewable energy supply increases during the collaborative utilization process, and also prevent the increase in energy storage costs after renewable energy meets the collaborative utilization, thereby reducing the energy supply efficiency in the park.

[0027] 2. In the present invention, a real-time risk assessment is conducted on the collaborative utilization during the park operation process to determine whether the comprehensive utilization of energy in the current park operation stage meets the actual needs, to avoid abnormal comprehensive utilization of energy that reduces the energy control efficiency. At the same time, real-time energy utilization is evaluated to ensure real-time monitoring of the current park energy supply efficiency, thereby improving the operational qualification and stability of the park; energy integrated control is analyzed to infer whether the energy integrated control during the current park operation is qualified, thereby ensuring the feasibility of energy collaborative utilization and improving the efficiency of comprehensive energy utilization in the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0029] Figure 1 It is a principle block diagram of the present invention as a whole;

[0030] Figure 2 This is a principle block diagram of Embodiment 1 of the present invention;

[0031] Figure 3 This is a principle block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0034] See also Figure 1 As shown, a comprehensive energy utilization system based on big data includes an energy utilization platform, and the energy utilization platform is communicatively connected to a utilization front end and a utilization back end, wherein the utilization front end and the utilization back end in the present application are both processors for park energy management and control, and the processors monitor the park energy supply in real time through a variety of sensors. Specifically, the utilization front end predicts the feasibility of the park energy supply before the park conducts energy collaborative utilization, and the utilization front end conducts a risk analysis of the park energy supply after the park conducts energy collaborative utilization, both of which regulate the comprehensive utilization of energy, and conduct energy comprehensive utilization analysis and control through different operation scenarios to ensure that under the premise of big data analysis, the efficiency of the park energy collaborative utilization is maximized. It can be understood that the park energy collaboration refers to renewable energy other than non-renewable energy in the park energy supply, non-renewable energy such as coal and other energy, and renewable energy such as light energy or wind energy;

[0035] Embodiment 1

[0036] The energy utilization platform and the utilization front end are connected by a collaborative real-time analysis unit and a collaborative energy efficiency evaluation unit. When energy is consumed during the real-time operation of the park, the energy utilization platform generates a front-end analysis instruction to the utilization front end. Please refer to Figure 2 As shown;

[0037] After receiving the front-end analysis instruction, the front-end generates a collaborative real-time analysis signal and sends the collaborative real-time analysis signal to the collaborative real-time analysis unit. After receiving the collaborative real-time analysis signal, the collaborative real-time analysis unit performs collaborative real-time analysis on the park, and makes a collaborative judgment on the park based on the collaborative utilization analysis of energy needs and the collaborative utilization analysis during the current park operation, so as to infer whether the current park needs collaborative utilization, ensure the rationality of the comprehensive utilization of energy in the park, avoid untimely energy supply, and prevent the increase of storage cost of energy utilization;

[0038] The average span of the excess of actual non-renewable energy consumption and preset consumption during the energy consumption stage of the park operation is obtained, and at the same time, the corresponding frequency value ratio of the floating frequency of the proportion of energy supply to total energy consumption after the increase of non-renewable energy consumption during the energy consumption stage of the park operation is obtained, where the increase of non-renewable energy consumption is the excess of actual consumption and preset consumption; and the average span of the excess of actual non-renewable energy consumption and preset consumption during the energy consumption stage of the park operation, and the corresponding frequency value ratio of the floating frequency of the proportion of energy supply to total energy consumption after the increase of non-renewable energy consumption during the energy consumption stage of the park operation is supplied by renewable energy to the growth floating frequency of the increase of non-renewable energy consumption are marked as information requiring coordinated utilization and active coordinated utilization information, and are compared with the average span threshold of the excess increase and the frequency value ratio threshold, respectively:

[0039] If the average span of the excess increase between the actual non-renewable energy consumption and the preset consumption during the energy consumption stage of the park operation exceeds the average span threshold of the excess increase, or the frequency value ratio of the floating frequency of the proportion of energy supply to total energy consumption after the increase in non-renewable energy consumption during the energy consumption stage of the park operation is supplied by renewable energy and the corresponding frequency value ratio of the floating frequency of the increase in non-renewable energy consumption exceeds the frequency value ratio threshold, it is determined that energy collaborative utilization is required during the park operation, and a collaborative signal is generated and sent to the energy utilization platform. After receiving the collaborative signal, the energy utilization platform sets the current energy supply mode of the park to collaborative mixing, that is, synchronous supply of renewable energy;

[0040] If the average span of the excess increase between the actual non-renewable energy consumption and the preset consumption during the energy consumption stage of the park operation does not exceed the average span threshold of the excess increase, and the frequency value ratio of the floating frequency of the proportion of energy supply to total energy consumption after the increase in non-renewable energy consumption during the energy consumption stage of the park operation is supplied by renewable energy and the corresponding frequency value ratio of the floating frequency of the increase in non-renewable energy consumption does not exceed the frequency value ratio threshold, it is determined that no energy collaborative utilization is required during the park operation, and a no-collaboration signal is generated and sent to the energy utilization platform. After receiving the no-collaboration signal, the energy utilization platform supplies according to the actual output of real-time renewable energy, and does not actively stockpile renewable energy;

[0041] At the same time, a collaborative energy efficiency evaluation signal is generated and sent to the collaborative energy efficiency evaluation unit. After receiving the collaborative energy efficiency evaluation signal, the collaborative energy efficiency evaluation unit evaluates the efficiency of collaborative utilization of energy during the operation of the park. Through the efficiency evaluation, it is determined whether the execution efficiency of the current collaborative utilization meets the actual energy supply demand, so as to avoid the situation in which the cost of renewable energy supply increases during the collaborative utilization process without achieving the expected energy saving for non-renewable energy, and to prevent the situation in which the cost of energy storage increases after renewable energy meets the requirements of collaborative utilization, thereby reducing the energy supply efficiency in the park.

[0042] Obtain the real-time energy supply type during the historical operation of the park, specifically the power supply, cooling supply, and heating supply. Set the historical operation period of the park to T and divide the historical operation period of the park into t moments. According to the power calculation formula, the power supply D is obtained. L (t), cooling capacity G L (t) and heat supply R L The power at each moment (t) is marked as the power supply of each energy type as D L，T , Cooling capacity G L，T And the heating R L，T ;Right now

[0043] At the same time, the actual purchase amount of non-renewable energy and the actual supply amount of renewable energy during the historical operation period of the park are obtained, and the actual purchase amount of non-renewable energy and the actual supply amount of renewable energy during the historical operation period of the park are labeled GR and GY respectively; the above collected data are substituted into the formula to obtain the park collaborative energy efficiency evaluation coefficient XT, the formula is:

[0044] Among them, β is the energy loss coefficient of non-renewable energy and renewable energy in the park, and its value is 0.95; α is the error correction factor, and its value is 0.98;

[0045] Compare the park collaborative energy efficiency evaluation coefficient with the evaluation coefficient threshold:

[0046] If the park collaborative energy efficiency evaluation coefficient exceeds the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is determined to be qualified, and an energy efficiency collaborative priority execution signal is generated and sent to the energy utilization platform. After the energy utilization platform receives the energy efficiency collaborative priority execution signal, it will give priority to energy efficiency collaboration in the park function stage.

[0047] If the park collaborative energy efficiency evaluation coefficient does not exceed the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is judged to be unqualified, and an energy efficiency collaboration pending execution signal is generated and sent to the energy utilization platform. After receiving the energy efficiency collaboration pending execution signal, the energy utilization platform will rectify the park energy collaboration, that is, control the collaboration speed, energy loss and energy equipment supply;

[0048] Embodiment 2

[0049] The previous embodiment performs energy analysis before the park conducts collaborative utilization, while this embodiment, as the back end of the previous embodiment, performs collaborative utilization control by using the back end after determining that the park conducts collaborative utilization of energy. Figure 3 As shown, the communication connection between the energy utilization platform and the utilization backend includes a collaborative utilization real-time risk assessment unit and an energy integration control unit;

[0050] After the park executes collaborative utilization, the energy utilization platform generates a utilization monitoring instruction value and utilizes the backend. After receiving the value, the backend generates a collaborative utilization real-time risk assessment signal and sends the collaborative utilization real-time risk assessment signal to the collaborative utilization real-time risk assessment unit. After the collaborative utilization real-time risk assessment unit receives the collaborative utilization real-time risk assessment signal, it conducts a real-time risk assessment on the collaborative utilization during the park operation process to determine whether the comprehensive energy utilization in the current park operation stage meets the actual demand, avoids the energy comprehensive utilization abnormality that reduces the energy control efficiency, and at the same time, evaluates the real-time energy utilization to ensure real-time monitoring of the current park energy supply efficiency, thereby improving the operational qualification and stability of the park;

[0051] Obtain the duration of the energy supply failing to meet the current supply quantity during the energy synergy utilization phase of the park operation when renewable energy is hoarded, and the reciprocating floating frequency of the interval period corresponding to the supply moment failing to meet the set supply quantity during the renewable energy hoarding supply phase, and mark the duration of the energy supply failing to meet the current supply quantity during the energy synergy utilization phase of the park operation when renewable energy is hoarded, and the reciprocating floating frequency of the interval period corresponding to the supply moment failing to meet the set supply quantity during the renewable energy hoarding supply phase as CXS and WFP respectively;

[0052] At the same time, the overlap between the decreasing period of the actual energy supply of renewable energy and the actual energy generation of renewable energy in the energy synergy stage of the park operation and the decreasing period of energy saving of non-renewable energy in the park operation is obtained, and the overlapping period of the decreasing period of the actual energy supply of renewable energy and the actual energy generation of renewable energy in the energy synergy stage of the park operation and the decreasing period of energy saving of non-renewable energy in the park operation is marked as CDL;

[0053] The above collected data are uniformly marked as collaborative utilization data, and substituted into the formula to obtain the collaborative utilization risk assessment coefficient G during the park operation process. The formula is:

[0054] Among them, fw1, fw2 and fw3 are respectively the duration of the supply failing to meet the current supply, the reciprocating floating frequency of the interval period corresponding to the supply moment, and the preset proportional coefficients of the overlap amount of the corresponding period during the decline period, and e is a natural constant, and m is an error correction factor with a value of 1.2;

[0055] Compare the collaborative utilization risk assessment coefficient during park operation with the collaborative utilization risk assessment coefficient threshold:

[0056] If the risk assessment coefficient of collaborative utilization during the operation of the park exceeds the threshold of the risk assessment coefficient of collaborative utilization, the risk assessment of collaborative utilization during the operation of the park is judged to be abnormal, a high-risk utilization signal is generated and sent to the energy utilization platform. After receiving the high-risk utilization signal, the energy utilization platform monitors the real-time demand and supply of non-renewable energy and renewable energy in the park, and controls the energy generation to ensure that the energy generation capacity meets the actual energy scheduling needs. At the same time, the comprehensive utilization cost is supervised and adjusted in time when the floating trend is abnormal;

[0057] If the risk assessment coefficient of collaborative utilization during the operation of the park does not exceed the threshold of the risk assessment coefficient of collaborative utilization, it is judged that the risk assessment of collaborative utilization during the operation of the park is normal, a low-risk utilization signal is generated and sent to the energy utilization platform;

[0058] At the same time, the back-end is used to generate energy integrated control signals and send them to the energy integrated control unit. After receiving the energy integrated control signals, the energy integrated control unit analyzes the energy integrated control and infers whether the energy integrated control is qualified during the current park operation, thereby ensuring the feasibility of energy coordinated utilization and improving the efficiency of comprehensive energy utilization in the park.

[0059] The corresponding numerical ratio of the energy conversion rate of the coordinated utilization of renewable energy and the increasing rate of the accumulated cost of real-time renewable energy storage during the operation of the park is obtained. It can be understood that the energy conversion rate of the coordinated utilization of renewable energy is expressed as the ratio of the supply of renewable energy available for energy utilization to the real-time energy generation;

[0060] The corresponding numerical ratio of the real-time storage time of renewable energy in the scenario of dispatchable energy during energy synergy utilization in the park operation process to the dispatch speed of renewable energy in the scenario of no dispatchable energy is obtained, and the corresponding numerical ratio of the energy conversion rate of renewable energy synergy utilization in the park operation process to the increase rate of the real-time renewable energy storage cumulative cost, and the corresponding numerical ratio of the real-time storage time of renewable energy in the scenario of dispatchable energy during energy synergy utilization in the park operation process to the dispatch speed of renewable energy in the scenario of no dispatchable energy are marked as supply ratio information and dispatch ratio information, respectively, and compared with the supply numerical ratio threshold and the dispatch numerical ratio threshold, respectively:

[0061] If the corresponding numerical ratio of the energy conversion rate of the coordinated utilization of renewable energy and the increasing speed of the accumulated cost of real-time renewable energy storage during the operation of the park exceeds the supply numerical ratio threshold, and the corresponding numerical ratio of the corresponding real-time storage time of renewable energy in the scenario of dispatchable energy during the coordinated utilization of energy in the operation of the park and the dispatch speed of renewable energy in the scenario of no dispatchable energy does not exceed the dispatch numerical ratio threshold, then it is determined that the integrated control in the operation of the park is qualified, and a qualified control signal is generated and sent to the energy utilization platform;

[0062] If the corresponding numerical ratio of the energy conversion rate of the coordinated utilization of renewable energy during the operation of the park and the increase rate of the accumulated cost of real-time renewable energy storage does not exceed the supply numerical ratio threshold, or the corresponding numerical ratio of the corresponding real-time storage time of renewable energy in the scenario of dispatchable energy during the coordinated utilization of energy during the operation of the park and the dispatch speed of renewable energy in the scenario of no dispatchable energy exceeds the dispatch numerical ratio threshold, then it is determined that the integrated control during the operation of the park is unqualified, an unqualified control signal is generated and sent to the energy utilization platform; after receiving the unqualified control signal, the energy utilization platform regulates the coordinated utilization of renewable energy during the operation of the park, and performs targeted regulation according to the real-time energy demand of the park;

[0063] The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The coefficients in the formula are set by technicians in this field according to actual conditions;

[0064] When the present invention is in use, the collaborative real-time analysis unit performs collaborative real-time analysis on the park, collects information on required collaborative utilization and active collaborative utilization, and infers whether the park needs collaborative utilization based on information analysis; the collaborative energy efficiency evaluation unit performs efficiency evaluation on the collaborative utilization of energy during the operation of the park; the collaborative utilization real-time risk assessment unit performs real-time risk assessment on the collaborative utilization during the operation of the park, obtains collaborative utilization data, and substitutes it into the formula to obtain the collaborative utilization risk assessment coefficient during the operation of the park, and infers whether the risk assessment is normal based on coefficient comparison; the energy integrated control unit analyzes the energy integrated control, obtains supply ratio information and scheduling ratio information, and judges whether the integrated control during the operation of the park is qualified based on information comparison.

[0065] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An energy comprehensive utilization system based on big data, It is characterized in that Including energy utilization platform, energy utilization platform communication connection utilization front end and utilization back end: The front-end is connected with: a collaborative real-time analysis unit, which is used to conduct collaborative real-time analysis of the park, collect information that needs collaborative use and active collaborative use, and infer whether the park needs collaborative use based on information analysis; The collaborative energy efficiency evaluation unit is used to evaluate the efficiency of collaborative energy utilization during park operations; The back-end connection includes: a collaborative utilization real-time risk assessment unit, which is used to conduct real-time risk assessment of collaborative utilization during park operation, obtain collaborative utilization data, and substitute it into the formula to obtain the collaborative utilization risk assessment coefficient during park operation, and infer whether the risk assessment is normal based on the coefficient comparison; The energy integrated control unit is used to analyze the energy integrated control, obtain the supply ratio information and the dispatch ratio information, and judge whether the integrated control is qualified during the park operation process based on the information comparison.

2. According to the big data-based energy comprehensive utilization system of claim 1, It is characterized in that The information on required collaborative utilization and active collaborative utilization are respectively the average span of the excess of actual non-renewable energy consumption over the preset consumption during the energy consumption stage in the park operation process, and the frequency numerical ratio of the floating frequency of the proportion of energy supply to total energy consumption after the use of renewable energy supply and the floating frequency of the increase in non-renewable energy consumption during the energy consumption stage in the park operation process.

3. According to the energy comprehensive utilization system based on big data as described in claim 2, It is characterized in that If the information required for collaborative utilization exceeds the threshold value of the average span of the excess output, or the information required for active collaborative utilization exceeds the threshold value of the frequency value ratio, it is determined that energy collaborative utilization is required during the operation of the park; If the information requiring collaborative utilization does not exceed the average span threshold of the excess increase, and the information on active collaborative utilization does not exceed the frequency value ratio threshold, it is determined that energy collaborative utilization is not required during the operation of the park.

4. According to the energy comprehensive utilization system based on big data as described in claim 1, It is characterized in that The operation process of the collaborative energy efficiency evaluation unit is as follows: Obtain the real-time energy supply type during the historical operation of the park, specifically the power supply, cooling supply, and heating supply. Set the historical operation period of the park to T and divide the historical operation period of the park into t moments. According to the power calculation formula, the power supply D is obtained. L (t), cooling capacity G L (t) and heat supply R L The power at each moment (t) is marked as the power supply of each energy type as D L，T , Cooling capacity G L，T And the heating R L，T ;Right now At the same time, the actual purchase amount of non-renewable energy and the actual supply of renewable energy during the historical operation period of the park are obtained, and the actual purchase amount of non-renewable energy and the actual supply of renewable energy during the historical operation period of the park are labeled GR and GY respectively; the above collected data are substituted into the formula to obtain the park's collaborative energy efficiency evaluation coefficient.

5. According to the energy comprehensive utilization system based on big data as described in claim 4, It is characterized in that If the park collaborative energy efficiency evaluation coefficient exceeds the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is determined to be qualified, and an energy efficiency collaborative priority execution signal is generated; If the park collaborative energy efficiency evaluation coefficient does not exceed the evaluation coefficient threshold, the park collaborative energy efficiency evaluation is judged to be unqualified, and an energy efficiency collaboration pending execution signal is generated.

6. According to the energy comprehensive utilization system based on big data as described in claim 1, It is characterized in that The collaborative utilization data include the duration of time when the energy supply cannot meet the current supply when renewable energy is hoarded during the energy collaborative utilization stage in the park operation process, the reciprocating floating frequency of the supply time corresponding to the interval period when the set supply cannot be met during the renewable energy hoarding supply stage, and the overlap between the corresponding periods of decreasing ratio of the actual energy supply of renewable energy collaborative supply to the actual energy generation of renewable energy during the energy collaborative stage in the park operation process and the decreasing period of energy savings of non-renewable energy sources during the park operation process.

7. According to the energy comprehensive utilization system based on big data as described in claim 6, It is characterized in that If the collaborative utilization risk assessment coefficient during the park operation exceeds the collaborative utilization risk assessment coefficient threshold, it is determined that the collaborative utilization risk assessment during the park operation is abnormal; If the collaborative utilization risk assessment coefficient during the operation of the park does not exceed the collaborative utilization risk assessment coefficient threshold, it is judged that the collaborative utilization risk assessment during the operation of the park is normal.

8. According to the big data-based energy comprehensive utilization system of claim 1, It is characterized in that The supply ratio information and the dispatch ratio information are respectively the numerical ratio of the energy conversion rate of the coordinated utilization of renewable energy during the operation of the park to the increasing rate of the accumulated cost of real-time renewable energy storage, and the numerical ratio of the corresponding real-time storage time of renewable energy in the scenario of coordinated utilization of energy during the operation of the park with dispatchable energy and the dispatch speed of renewable energy in the scenario without dispatchable energy.

9. According to the big data-based energy comprehensive utilization system of claim 8, It is characterized in that If the supply ratio information exceeds the supply value ratio threshold, and the dispatch ratio information does not exceed the dispatch value ratio threshold, it is determined that the integrated control during the park operation is qualified, and a qualified control signal is generated and sent to the energy utilization platform; If the supply ratio information does not exceed the supply value ratio threshold, or the scheduling ratio information exceeds the scheduling value ratio threshold, it is determined that the integrated control during the park operation is unqualified, and an unqualified control signal is generated and sent to the energy utilization platform.

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