Atlas transmission platform and method based on power system data

Abstract

The invention discloses a graph transmission platform and method based on power system data, and belongs to the technical field of graph transmission. When a Deflate method is applied to reduce a domain name to be reduced, the capacity of a temporary storage space for retrieval is allocated according to the key amplitude of power operation data which is not reduced in a reduced space; therefore, when the key amplitude of the non-reduced electric power operation data in the reduction space is larger, the amount of the reduced electric power operation data for adaptation in the temporary storage space for retrieval is larger, so that the amount of the numerical value which is searched from the reduced electric power operation data and is most adaptive to the non-reduced electric power operation data is larger, and the amount of the numerical value is larger. According to the method and the system, under the condition that the disposal consumption and the storage consumption are minimized, the key electric power operation data which are not reduced can obtain the better reduction rate, so that the transmission hidden danger of the electric power operation data is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of graph transmission, and in particular relates to a graph transmission platform and method based on power system data. Background Art

[0002] Reasonable integration of knowledge graphs into the power field can achieve the reasonable construction of knowledge graphs, which will further meet the actual work needs of power personnel and ultimately improve the actual utilization rate of power grid information.

[0003] In practical applications, the current graph transmission platform based on power system data often uses the prior art solution mentioned in the patent publication number "CN117557244B", and its graph transmission platform includes a computer control device containing a power knowledge graph library. The computer control device is communicatively connected to a data acquisition device. The data acquisition device is used to collect power operation data (the power operation data may be the transmission voltage of the power equipment, and the power equipment may be the wire) and transmit it to the computer control device. The computer control device is used to use the power knowledge graph in the power knowledge graph library to determine whether the collected power operation data has any abnormalities.

[0004] However, the amount of power operation data is not small, so it is necessary to reduce the amount of power operation data to be transmitted to reduce the load of power operation data transmission and reduce the consumption of frequency band.

[0005] At present, the Deflate method is often used to perform reduction processing on the power operation data to be transmitted, that is, the Deflate method uses a queue to sequentially reduce the power operation data to be transmitted. Here, the queue contains a reduction space and a temporary storage space for retrieval. The value in the reduction space is the power operation data that has not been reduced, and the value in the temporary storage space for retrieval is the reduced power operation data after being processed by the Lempel-Ziv-Welch method. The power operation data that has not been reduced in the reduction space needs to be reduced using the Huffman method using the reduced power operation data in the temporary storage space for retrieval as the huffman table, and the capacity of the queue of the Deflate method is constant.

[0006] The Deflate method can perform the same level of reduction on power operation data. However, for some critical power operation data (such as mutation data), a better reduction rate is often required to make its transmission more stable and reliable. Therefore, how to improve the reduction effect of the Deflate method when performing reduction on critical power operation data and improve the reduction rate of critical power operation data are the goals and effects that need to be achieved urgently. Summary of the invention

[0007] In order to solve the defects in the prior art, the present invention proposes a graph transmission platform and method based on power system data. The present invention can achieve a better reduction rate for key power operation data that has not been reduced while minimizing processing and storage costs, thereby reducing its transmission risks.

[0008] The present invention utilizes the following technical solutions.

[0009] A spectrum transmission method based on power system data, comprising: The data collection device collects the power operation data and transmits it to the computer control device, and the computer control device uses the power knowledge graph in the power knowledge graph library to determine whether the collected power operation data is abnormal; The method for transmitting power operation data from a data acquisition device to a computer control device comprises: Step 1: Obtain the power operation data to be reduced; Step 2: Identify the key amplitude of the power operation data without reduction within the reduction space; Step 3: According to the key amplitude of the unreduced power operation data, the capacity of the temporary storage space for retrieval is allocated to obtain the allocated temporary storage space for the target retrieval; Step 4: perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose retrieval; Step 5: After all the power operation data to be reduced have been reduced, the reduced power operation data are transmitted.

[0010] Furthermore, in step 1, the power operation data to be reduced is the power operation data that the data acquisition device is to transmit to the computer control device.

[0011] Furthermore, step 2 specifically includes: Step 2-1: Initially, according to the weight of the power operation data without reduction, determine the probability three corresponding to the power operation data without reduction; Step 2-2: Based on probability three, the probability of mutation data is determined by the transmission status of the transmitter corresponding to the power operation data that has not decreased.

[0012] Further, in step 2-1, probability three is used to characterize the similarity between the component of the power operation data without reduction and the component of the mutation data.

[0013] Further, in step 2-1, the number of the unreduced power operation data within the reduction space is first determined, then the similarity between the unreduced power operation data and any power operation data 2 within the reduction space is determined, and then the number of the unreduced power operation data, the similarity between any power operation data 2 and the unreduced power operation data are combined as a whole to determine the corresponding probability three of the unreduced power operation data.

[0014] Further, in step 2-1, after confirming that there is no reduction in power operation data and power operation data 2 When the similar amount of a pair of power operation data is obtained, the first bytes of a pair of power operation data are aligned and sent to a pair of arrays respectively, and one element in the array contains one byte of the corresponding power operation data, and then the similar amount of a pair of power operation data is resolved through the relative positions in the table; The approximate operation equation is: (1); (2); Here, Represents power operation data and power operation data The approximate amount of Represents power operation data Total bytes, Represents power operation data Inside Bytes of The corresponding adaptation amount of bytes, and Represents power operation data of Bytes, Bytes in power operation data There are the same bytes in Represents power operation data of Bytes, Bytes in power operation data There are no identical bytes in Representatives obtained The minimum amount, Represents power operation data of Bytes, The serial number of the array where the byte is located; Represents power operation data Same as power operation data Neidi Bytes the same Bytes, The serial number of the array where the same bytes are located, is the Euler number, Represents power operation data The number of bytes, Represents power operation data The number of bytes in the .

[0015] Furthermore, in step 2-1, the probability three corresponding to the power operation data without reduction is determined according to the following equation (3): (3); Here, Represents power operation data without reduction The corresponding probability is three, Represents the number of all power operation data without reduction in the reduction space. Representative The number of power operation data 2, Representative Power operation data 2 and power operation data without reduction The approximate amount of is the Euler number, Represents the power operation data that has not been reduced within the reduction space The number of.

[0016] Further, in step 2-2, according to the power operation data without reduction The number of times each transmitter's transmission status is displayed, confirming the power operation data without reduction Corresponding probability 2: (4); Here, Represents power operation data without reduction The corresponding probability is two, is the Euler number; Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction of In the transmission party, The power operation data without reduction in the transmission status of each transmitter The number of times .

[0017] Further, in step 2-2, according to the power operation data without reduction The corresponding probability is also based on the power operation data without reduction. The probability of mutation data is determined by the corresponding transmission time within the transmission volume of each transmitter. The calculation equation is: (5); Here, Represents power operation data without reduction The corresponding probability, Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction In the The number of times each transmitter appears in the corresponding transmission volume status; Represents power operation data without reduction The corresponding In the transmission volume status of the transmitter, The time it takes to pass the first presentation.

[0018] Further, in step 2-2, according to the power operation data without reduction The corresponding probability is considered as the final probability of mutation data, and its calculation equation is: (6); Here, Represents power operation data without reduction is the final probability of mutation data, Represents power operation data without reduction Total A transmitter, Power operation data with and without reduction The corresponding The transmission status of each transmitter, without reduction of power operation data The power operation data at the next point in time and The approximate amount of .

[0019] Furthermore, in step 3, the capacity of the temporary storage space for retrieval is expanded according to the following equation: (7); Here, Represents the capacity of the temporary storage space for the expanded purpose search. Represents the original reduction space The power operation data without reduction, The power operation data that does not reduce within the reduction space is the last chance of mutation data. Represents the capacity of the original temporary storage space for retrieval.

[0020] A graph transmission platform based on power system data, comprising: A computer control device containing an electric power knowledge graph library, the computer control device is communicatively connected to a data acquisition device, the data acquisition device is used to collect electric power operation data and transmit it to the computer control device, and the computer control device is used to use the electric power knowledge graph in the electric power knowledge graph library to determine whether the collected electric power operation data is abnormal; The modules running on the data acquisition device include: An acquisition module, which is used to obtain the power operation data to be reduced; A recognition module, which is used to recognize the key amplitude of the power operation data that has not been reduced in the reduction space; An allocation module, which is used to allocate the capacity of the temporary storage space for retrieval according to the key amplitude of the power operation data without reduction, so as to obtain the allocated temporary storage space for the target retrieval; A calculation module, which is used to perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose of retrieval; The transmission module is used for transmitting the reduced power operation data after the reduction operation is completed for all the power operation data to be reduced.

[0021] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: When the Deflate method is used to perform deflation on the deflated domain name, the capacity of the temporary storage space for retrieval is adjusted according to the key amplitude of the non-deflated power operation data in the deflated space. Therefore, the larger the key amplitude of the non-deflated power operation data in the deflated space, the larger the amount of the deflated power operation data used for adaptation in the temporary storage space for retrieval. Therefore, the amount of the most suitable values ​​retrieved from the deflated power operation data and the non-deflated power operation data will be larger. Therefore, the redundancy value can be better used to obtain a better deflation rate. The present invention can achieve a better deflation rate for the key non-deflated power operation data while minimizing the processing cost and storage cost, thereby reducing the transmission risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of the spectrum transmission method based on power system data described in the present invention; Figure 2 It is a partial structural diagram of the spectrum transmission platform based on power system data described in the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely expressed in conjunction with the drawings in the embodiments of the present invention. The embodiments expressed in this application are only partial embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by technicians in this field without creative work are all within the protection scope of the present invention.

[0024] like Figure 1 As shown, a spectrum transmission method based on power system data described in the present invention includes: The data collection device collects power operation data (the power operation data may be the transmission voltage of the power equipment, and the power equipment may be the wire) and transmits it to the computer control device, and the computer control device uses the power knowledge graph in the power knowledge graph library to determine whether the collected power operation data is abnormal; The method for transmitting power operation data from a data acquisition device to a computer control device comprises: The Deflate method uses a queue to sequentially decrement the power operation data to be decremented, that is, the power operation data to be decremented is sequentially sent to the queue, and the queue contains decrement space and retrieval temporary storage space. When facing a power operation data to be decremented, the power operation data to be decremented is first sent to the decrement space and the Lempel-Ziv-Welch method is used to perform decrement. After it is decremented, it is sent to the retrieval temporary storage space as the huffman table to be adapted. Then, the power operation data to be decremented sent to the decrement space is adapted to the decremented power operation data that has been decremented in the retrieval temporary storage space. After searching for the value with the highest adaptation number with the power operation data that has not been decremented, a symbol containing the number and spacing value is sent out according to the adaptation value, and then according to This mark is used to replace the redundant values ​​in the power operation data that have not been reduced to achieve the reduction of the power operation data that has not been reduced. The larger the temporary storage space for retrieval, that is, the larger the amount of reduced power operation data to be adapted in the temporary storage space for retrieval, the more likely the power operation data that has not been reduced will find the value of the highest adaptation number. Accordingly, the power operation data that has not been reduced can obtain a greater reduction rate when performing reduction. Therefore, when using the Deflate method to perform reduction, the capacity of the queue (temporary storage space for retrieval) affects the reduction efficiency of the algorithm and the reduction rate of the reduced power operation data.

[0025] The current Deflate method has a constant queue capacity. The Deflate method can perform the same level of reduction on the power operation data. However, for some critical power operation data (such as mutation data), a better reduction rate is often required to make its transmission more stable and reliable. Therefore, how to improve the reduction effect of the Deflate method when performing reduction on critical power operation data and improve the reduction rate of critical power operation data are urgent goals to be achieved.

[0026] This application focuses on the key power operation data to be reduced, that is, the mutation data. When using the Deflate method to reduce the power operation data to be reduced, if there are many mutation data in the power operation data to be reduced, the capacity of the temporary storage space for retrieval is expanded to increase the number of power operation data to be adapted, thereby better utilizing the redundancy of the mutation data, so that the key power operation data to be reduced can obtain a better reduction rate, thereby reducing the transmission risks of mutation data. Therefore, each stability team can better control the mutation data and use maintenance plans in advance to improve the stability of value transmission.

[0027] The method for transmitting the power operation data from the data acquisition device to the computer control device specifically includes: Step 1: Obtain the power operation data to be reduced; In a preferred but non-limiting embodiment of the present invention, in step 1, the power operation data to be decremented is the power operation data to be transmitted from the data acquisition device to the computer control device. When the power operation data is transmitted, the decrement is initially performed, that is, the power operation data to be transmitted is the power operation data to be decremented.

[0028] Step 2: Identify the key amplitude of the power operation data without reduction within the reduction space; When the Deflate method is used to reduce the power operation data to be reduced, the power operation data to be reduced will be sequentially transferred to the queue for reduction. Here, the queue contains a reduction space and a temporary storage space for retrieval. The power operation data to be transferred will first be transferred to the reduction space for reduction using the Lempel-Ziv-Welch method, and after the reduction is completed, it will be transferred to the temporary storage space for retrieval as a Huffman table to be adapted to reduce the subsequent power operation data that has not been reduced using the Huffman method until it is sent out through the temporary storage space for retrieval. Since the present invention aims to improve the reduction effect of the Deflate method when reducing critical power operation data, it is necessary to first confirm whether the power operation data that has not been reduced in the reduction space is critical power operation data.

[0029] The present application is used to improve the reduction rate of mutation data. Therefore, the greater the probability that the non-reduced power operation data is mutation data, the larger the amount of power operation data and the larger its key amplitude. Therefore, when facing any power operation data one in the non-reduced power operation data, it is necessary to estimate the probability that the power operation data one is mutation data, and then determine the key amplitude of all the non-reduced power operation data in the reduction space based on the corresponding probability of all the power operation data one.

[0030] Just as we need to decompose all the non-reduced power operation data within the reduction space separately, determine the probability that each non-reduced power operation data is a mutation data, and then select the target non-reduced power operation data with a probability higher than the pre-defined critical value, and the selected target non-reduced power operation data is often the mutation data, and then total the number of target non-reduced power operation data. If the number is larger, the critical amplitude of the non-reduced power operation data will be larger.

[0031] For example, when facing the power operation data without reduction in any reduction space, the method for estimating the probability of it being mutation data is as follows: In a preferred but non-limiting embodiment of the present invention, step 2 specifically comprises: Step 2-1: Initially, according to the weight of the power operation data without reduction, determine the probability three corresponding to the power operation data without reduction; In a preferred but non-limiting embodiment of the present invention, in step 2-1, probability three is used to characterize the similarity between the component of the power operation data without reduction and the component of the mutation data.

[0032] As for mutation data, it has the following components: initialization, the components of mutation data (that is, its bytes, etc.) are very similar to conventional power operation data (conventional power operation data are power operation data under reasonable conditions), and in the transmission channel between the computer control device and the data acquisition device, its own appearance frequency is low, but the appearance frequency of conventional power operation data that is not small in amount is not small. Therefore, when facing a power operation data, its own appearance frequency is small, but the larger the amount of other power operation data that is similar in amount to the power operation data, the greater the probability that the power operation data is mutation data.

[0033] In a preferred but non-restrictive embodiment of the present invention, in step 2-1, when determining the probability that a piece of power operation data without reduction is mutation data, it is first analyzed on its components, just as the number of the power operation data without reduction in the reduction space can be first determined, and then the similarity between the power operation data without reduction and any power operation data 2 in the reduction space (that is, the power operation data without reduction outside itself) is determined, and then the number of the power operation data without reduction, the similarity between any power operation data 2 and the power operation data without reduction are combined as a whole to determine the corresponding probability three of the power operation data without reduction.

[0034] In a preferred but non-limiting embodiment of the present invention, in step 2-1, after identifying the power operation data without reduction, and power operation data 2 When the similar amount of a pair of power operation data is obtained, the first bytes of a pair of power operation data are aligned and sent to a pair of arrays respectively, and one element in the array contains one byte of the corresponding power operation data, and then the similar amount of a pair of power operation data is resolved through the relative positions in the table; The approximate operation equation is: (1); (2); Here, Represents power operation data and power operation data The approximate amount of Represents power operation data Total bytes, Represents power operation data Inside Bytes of The corresponding adaptation amount of bytes, and Represents power operation data of Bytes, Bytes in power operation data There are the same bytes in Represents power operation data of Bytes, Bytes in power operation data There are no identical bytes in the Representatives obtained The minimum amount, Represents power operation data of Bytes, The serial number of the array where the byte is located is ; Represents power operation data Same as power operation data Neidi Bytes the same Bytes, The serial number of the array where the same bytes are located, Represents power operation data Total Bytes and power operation data Neidi bytes are the same, so The value is from , is the Euler number, Represents power operation data The number of bytes, Represents power operation data The number of bytes in the .

[0035] Equation (1) and equation (2) are explained as follows: The above equations (1) and (2) are used to calculate the power operation data Power operation data The similar amount, facing the power operation data For example, to compare the power operation data There is a significant difference in the number of bytes of a pair of power operation data. Therefore, in the above equation (1), Used to characterize power operation data Power operation data The number of bytes is related to The lower the value, the greater the similarity, so it can be used To perform calculations, and under the condition that the number of bytes is similar, the corresponding adaptation amount of each byte is also larger. For example, we need to find out the bytes in the power operation data. If there is no identical byte in the data, it is represented by zero. If there is an identical byte, it often appears more than once, so the identical byte closest to the front is selected in the power operation data. The quantity obtained by subtracting the serial number of , and the lower the amount obtained by subtracting them, the greater the similar amounts.

[0036] In a preferred but non-limiting embodiment of the present invention, in step 2-1, when facing a power operation data without reduction, after comparing it with all other power operation data without reduction in the reduction space one by one, the probability three corresponding to the power operation data without reduction can be determined according to the following equation (3): (3); Here, Represents power operation data without reduction The corresponding probability is three, which is used to represent the power operation data without reduction in the component The similarity with the mutation data, Represents the number of all power operation data without reduction in the reduction space. Representative The number of power operation data 2, Representative Power operation data 2 and power operation data without reduction The approximate amount of is the Euler number, Represents the power operation data that has not been reduced within the reduction space The number of.

[0037] The following is an explanation of equation (3): if there is no reduction in the power operation data It is a sudden change data. Therefore, after component analysis, it appears less frequently than the conventional power operation data, so the lower the better. Characterized The lower the value, the greater the probability of the third value. Under the condition that the number of times is small, if the power operation data with no reduction is The larger the two similar power operation data are, the larger the similar amplitude is. The larger the power consumption, the less the reduction. After quantitative analysis, the probability of belonging to mutation data is greater.

[0038] According to this, there is no reduction in power operation data It is the component probability of mutation data, which is inversely proportional to its own number in the reduction space; it is directly proportional to its similarity to the power operation data 2; and it is directly proportional to the number of power operation data 2 that are not similar to it in the reduction space. That is to say, when a power operation data without reduction has a low number of appearances itself, but other power operation data that are highly similar to it appear frequently, after component analysis, the probability that the power operation data is mutation data is higher.

[0039] Step 2-2: Based on probability 3, the probability of mutation data is determined by the transmission status of the transmitter of the power operation data without reduction. The transmitter is the data collection device that transmits the power operation data without reduction.

[0040] When confirming whether a power operation data is a mutation data, it is necessary not only to confirm it by its component, but also to compare the status of its corresponding transmission volume with the status of other conventional transmission volumes (the transmission volume of conventional power operation data), and then confirm whether it is a real mutation data. In this application, all transmitters of the target transmission volume corresponding to the unreduced power operation data must first be identified, and then the status of the corresponding transmission volume of each transmitter must be analyzed. By comparing the inspection status of the target transmission volume corresponding to the unreduced power operation data with the inspection status of other transmission volumes, the probability of the unreduced power operation data being mutation data is determined.

[0041] Specifically, the characteristics of mutation data in the queue arranged by the data collection device in the order of collection time points often include: For a transmitter corresponding to the mutation data, the mutation data is less likely to appear in the transmission volume of the transmitter because the mutation state that the transmitter encounters is less than the normal state. In the case of a small number of occurrences, the transmission time of the target transmission amount corresponding to the mutation data is short, and the transmission time is shorter because the mutation data has a small amount; The power operation data at the next point in time after the mutation data is often the regular power operation data with a similar amount to the mutation data; because the mutation data is often generated instantaneously and then ends, there will be regular power operation data at the next point in time.

[0042] Therefore, when confirming whether the power operation data without reduction is mutation data, estimation can be performed in sequence according to the above characteristics.

[0043] In a preferred but non-limiting embodiment of the present invention, in step 2-2, according to the power operation data without reduction The number of times each transmitter's transmission status is displayed, confirming the power operation data without reduction Corresponding probability 2: (4); Here, Represents power operation data without reduction The corresponding probability is 2, which is used to characterize the power operation data without reduction. The probability of sudden data mutation is analyzed based on the number of occurrences and its own components within the transmission volume of the transmitter (the transmission volume is the amount of power operation data to be transmitted). is the Euler number; Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction of In the transmission party, The power operation data without reduction in the transmission status of each transmitter The number of times .

[0044] From the above equation (4), it can be seen that after confirming that there is no reduction in power operation data Is it a mutation data, not only is it similar to the mutation data in terms of weight (that is, in conditions), and its corresponding In the transmission quantity status of each transmission party, the unreduced power operation data It is not yet frequently presented, which means that for some transmitters, there is no reduction in power operation data. Number of times presented The smaller the better.

[0045] In a preferred but non-limiting embodiment of the present invention, in step 2-2, according to the power operation data without reduction The corresponding probability is also based on the power operation data without reduction. The probability of mutation data is determined by the corresponding transmission time within the transmission volume of each transmitter. The calculation equation is: (5); Here, Represents power operation data without reduction The corresponding probability is used to represent the power operation data without reduction according to probability 2. The transfer time analysis is the probability of mutation data, Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction In the The number of times each transmitter appears in the corresponding transmission volume status; Represents power operation data without reduction The corresponding In the transmission volume status of the transmitter, The time taken to transmit the data when the data is presented. The quotient obtained by dividing the capacity of the data acquisition device by the transmission rate of the data acquisition device set in advance.

[0046] From the above equation (5), it can be seen that after confirming that there is no reduction in power operation data If it is a sudden change data, the power operation data without reduction should also be referred to. The time taken for transmission within the corresponding transmission capacity of each transmitter, that is, Under the condition of , the parsing is then performed through the transmission time. Since the transmission time of the target transmission amount corresponding to most of the mutation data is short, the probability of it being mutation data is greater. Here, in the equation The weight used to calculate the mean transfer time.

[0047] In a preferred but non-limiting embodiment of the present invention, in step 2-2, according to the power operation data without reduction The corresponding probability is considered as the final probability of mutation data, and its calculation equation is: (6); Here, Represents power operation data without reduction is the final probability of mutation data, Represents power operation data without reduction Total A transmitter, Power operation data with and without reduction The corresponding In the transmission status of each transmitter, the power operation data without reduction in the queue formed in the order of collection time points The power operation data at the next point in time and The approximate quantity (which can refer to the above approximate quantity operation equations (1) and (2)).

[0048] From the above equation (6), it can be seen that after confirming that there is no reduction in power operation data If it is a sudden change data, the power operation data of the previous and next power operation data in the queue formed according to the order of collection time points shall be followed. The similar quantity of Q is analyzed, that is, if the mutation data is generated instantaneously and then ends, there will be regular power operation data at the next point in time. In the queue formed according to the order of collection time points, the next power operation data and the power operation data without reduction are The greater the probability of being similar, The larger the power running data, the less the reduction The more it is attributed to mutation data.

[0049] When the Deflate method is used in step 2 to reduce the power operation data to be reduced, the probability of each power operation data that has not been reduced in the reduction space being a mutation data is determined, and then the key amplitude of the entire power operation data that has not been reduced is determined based on the probability of the entire power operation data that has not been reduced. The larger the amount of power operation data that will be mutation data in the power operation data that has not been reduced, and the greater the probability of it being mutation data, the larger the key amplitude of the power operation data that has not been reduced. Therefore, the Deflate method must be adjusted to achieve a better reduction rate after the power operation data that has not been reduced is reduced.

[0050] Step 3: According to the key amplitude of the unreduced power operation data, the capacity of the temporary storage space for retrieval is allocated to obtain the allocated temporary storage space for the target retrieval; However, the present application intends to use the Deflate method to reduce the amount of key power operation data. Therefore, when the key amplitude of the power operation data that has not been reduced in the reduction space is determined to be very high, the capacity of the temporary storage space for retrieval in the queue should be expanded, so as to more efficiently use the redundant values ​​in the mutation data, thereby improving the reduction rate. Therefore, under the condition of ensuring the processing cost and storage cost, the key power operation data to be reduced can be reduced in depth, thereby reducing the transmission risks, and synchronously significantly reducing the amount of information when the reduced power operation data is transmitted, reducing the load of the transmission channel, and improving the efficiency of the transmission of the reduced power operation data. In addition, the power operation data to be reduced can not only reduce the storage amount after the deep reduction, but also reduce the risk of being destroyed or lost during the transmission. Initially, because the reduced data after the deep reduction is more reasonable, it is suitable to maintain the completeness and accuracy of the reduced power operation data, and ensure that the computer control device can accurately restore the reduced power operation data.

[0051] In a preferred but non-limiting embodiment of the present invention, in step 3, the capacity of the temporary storage space for retrieval is expanded according to the following equation: (7); Here, Represents the capacity of the temporary storage space for the expanded purpose search. Represents the original reduction space The power operation data without reduction, The power operation data that does not reduce within the reduction space is the last chance of mutation data. Represents the capacity of the original temporary storage space for retrieval.

[0052] From the above analysis, it can be known that if the amount of power operation data belonging to mutation data in the unreduced power operation data in the reduction space is larger and the probability of it being mutation data is greater, the capacity of the temporary storage space for retrieval needs to be expanded. Therefore, the cumulative amount of the probability of mutation data for all the unreduced power operation data in the reduction space is obtained, and then the capacity of the actual temporary storage space for retrieval is calculated to obtain the allocated target temporary storage space for retrieval.

[0053] Step 4: perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose retrieval; Based on this, the temporary storage space is used for the allocated purpose retrieval, and the Deflate method is used to achieve in-depth reduction of the remaining power operation data that has not been reduced.

[0054] Step 5: After all the power operation data to be reduced have been reduced, the reduced power operation data are transmitted.

[0055] The larger the capacity of the queue, the better the reduction rate can be achieved, because it is suitable for a larger amount of adaptation and can better reuse the values. However, the larger the queue, the greater the storage and calculation costs. In the present application, the capacity of the temporary storage space for retrieval is flexibly adjusted based on the power operation data that has not been reduced in the reduction space, and then the Deflate method is executed to reduce the data and then transmit it to the computer control device, and then the power operation data after data reduction is transmitted through the transmission channel. This method can make the Deflate method more suitable for the reduction of key parts, thereby improving the reduction rate and the effectiveness of protecting key values.

[0056] like Figure 2 As shown, the graph transmission platform based on power system data described in the present invention includes: A computer control device containing an electric power knowledge graph library, the computer control device is connected to a data acquisition device for communication, the data acquisition device is used to collect electric power operation data (the electric power operation data may be the transmission voltage of the electric power equipment, and the electric power equipment may be the wire) and transmit it to the computer control device, and the computer control device is used to use the electric power knowledge graph in the electric power knowledge graph library to determine whether the collected electric power operation data is abnormal; The modules running on the data acquisition device include: An acquisition module, which is used to obtain the power operation data to be reduced; A recognition module, which is used to recognize the key amplitude of the power operation data that has not been reduced in the reduction space; An allocation module, which is used to allocate the capacity of the temporary storage space for retrieval according to the key amplitude of the power operation data without reduction, so as to obtain the allocated temporary storage space for the target retrieval; A calculation module, which is used to perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose of retrieval; The transmission module is used for transmitting the reduced power operation data after the reduction operation is completed for all the power operation data to be reduced.

[0057] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include: When the Deflate method is used to perform deflation on the deflated domain name, the capacity of the temporary storage space for retrieval is adjusted according to the key amplitude of the non-deflated power operation data in the deflated space. Therefore, the larger the key amplitude of the non-deflated power operation data in the deflated space, the larger the amount of the deflated power operation data used for adaptation in the temporary storage space for retrieval. Therefore, the amount of the most suitable values ​​retrieved from the deflated power operation data and the non-deflated power operation data will be larger. Therefore, the redundancy value can be better used to obtain a better deflation rate. The present invention can achieve a better deflation rate for the key non-deflated power operation data while minimizing the processing cost and storage cost, thereby reducing the transmission risk.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be covered within the protection space of the claims of the present invention.

Claims

1. A spectrum transmission method based on power system data, characterized in that: include: The data collection device collects the power operation data and transmits it to the computer control device, and the computer control device uses the power knowledge graph in the power knowledge graph library to determine whether the collected power operation data is abnormal; The method for transmitting power operation data from a data acquisition device to a computer control device comprises: Step 1: Obtain the power operation data to be reduced; Step 2: Identify the key amplitude of the power operation data without reduction within the reduction space; Step 3: According to the key amplitude of the unreduced power operation data, the capacity of the temporary storage space for retrieval is allocated to obtain the allocated temporary storage space for the target retrieval; Step 4: perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose retrieval; Step 5: After all the power operation data to be reduced have been reduced, the reduced power operation data are transmitted.

2. The method for transmitting a graph based on power system data according to claim 1, characterized in that: In step 1, the power operation data to be reduced is the power operation data that the data acquisition device is to transmit to the computer control device.

3. The method for transmitting a spectrum based on power system data according to claim 2, characterized in that: Step 2 specifically includes: Step 2-1: Initially, according to the weight of the power operation data without reduction, determine the probability three corresponding to the power operation data without reduction; Step 2-2: Based on probability three, the probability of mutation data is determined by the transmission status of the transmitter corresponding to the power operation data that has not decreased.

4. The method for transmitting a graph based on power system data according to claim 3, characterized in that: In step 2-1, probability three is used to characterize the similarity between the component of the power operation data without reduction and the component of the mutation data.

5. The method for transmitting a graph based on power system data according to claim 4, characterized in that: In step 2-1, the number of the non-reduced power operation data in the reduction space is first determined, then the similarity between the non-reduced power operation data and any one of the power operation data in the reduction space is determined, and then the number of the non-reduced power operation data, the similarity between any one of the power operation data and the non-reduced power operation data are combined as a whole to determine the probability three corresponding to the non-reduced power operation data; In step 2-1, after confirming that there is no reduction in power operation data and power operation data 2 When the similar amount of a pair of power operation data is obtained, the first bytes of a pair of power operation data are aligned and sent to a pair of arrays respectively, and one element in the array contains one byte of the corresponding power operation data, and then the similar amount of a pair of power operation data is resolved through the relative positions in the table; The approximate operation equation is: （1）； （2）； Here, Represents power operation data and power operation data The approximate amount of Represents power operation data Total bytes, Represents power operation data Inside Bytes The corresponding adaptation amount of bytes, and Represents power operation data of Bytes, Bytes in power operation data There are the same bytes in Represents power operation data of Bytes, Bytes in power operation data There are no identical bytes in Representatives obtained The minimum amount, Represents power operation data of Bytes, The serial number of the array where the byte is located; Represents power operation data Same as power operation data Neidi Bytes the same Bytes, The serial number of the array where the same bytes are located, is the Euler number, Represents power operation data The number of bytes, Represents power operation data The number of bytes in In step 2-1, the probability three corresponding to the power operation data without reduction is determined according to the following equation (3): （3）； Here, Represents power operation data without reduction The corresponding probability is three, Represents the number of all power operation data without reduction in the reduction space. Representative The number of power operation data 2, Representative Power operation data 2 and power operation data without reduction The approximate amount of is the Euler number, Represents the power operation data that has not been reduced within the reduction space The number of.

6. The method for transmitting a graph based on power system data according to claim 5, characterized in that: In step 2-2, based on the power operation data without reduction The number of times each transmitter's transmission status is displayed, confirming the power operation data without reduction Corresponding probability 2: （4）； Here, Represents power operation data without reduction The corresponding probability is two, is the Euler number; Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction of In the transmission party, The power operation data without reduction in the transmission status of each transmitter The number of times .

7. The method for transmitting a graph based on power system data according to claim 6, characterized in that: In step 2-2, based on the power operation data without reduction The corresponding probability is also based on the power operation data without reduction. The probability of mutation data is determined by the corresponding transmission time within the transmission volume of each transmitter. The calculation equation is: （5）； Here, Represents power operation data without reduction The corresponding probability, Represents power operation data without reduction Total a transmitter; Represents power operation data without reduction In the The number of times each transmitter appears in the corresponding transmission volume status; Represents power operation data without reduction The corresponding In the transmission volume status of the transmitter, The time it takes to pass the first presentation.

8. The method for transmitting a graph based on power system data according to claim 7, characterized in that: In step 2-2, based on the power operation data without reduction The corresponding probability is considered as the final probability of mutation data, and its calculation equation is: （6）； Here, Represents power operation data without reduction is the final probability of mutation data, Represents power operation data without reduction Total A transmitter, Power operation data with and without reduction The corresponding The transmission status of each transmitter, without reduction of power operation data The power operation data at the next point in time and The approximate amount of .

9. The method for transmitting a graph based on power system data according to claim 8, characterized in that: In step 3, the capacity of the temporary storage space for retrieval is expanded according to the following equation: （7）； Here, Represents the capacity of the temporary storage space for the expanded purpose search. Represents the original reduction space The power operation data without reduction, The power operation data that does not reduce within the reduction space is the last chance of mutation data. Represents the capacity of the original temporary storage space for retrieval.

10. A graph transmission platform based on power system data, characterized in that: include: A computer control device containing an electric power knowledge graph library, the computer control device is communicatively connected to a data acquisition device, the data acquisition device is used to collect electric power operation data and transmit it to the computer control device, and the computer control device is used to use the electric power knowledge graph in the electric power knowledge graph library to determine whether the collected electric power operation data is abnormal; The modules running on the data acquisition device include: An acquisition module, which is used to obtain the power operation data to be reduced; A recognition module, which is used to recognize the key amplitude of the power operation data that has not been reduced in the reduction space; An allocation module, which is used to allocate the capacity of the temporary storage space for retrieval according to the key amplitude of the power operation data without reduction, so as to obtain the allocated temporary storage space for the target retrieval; A calculation module, which is used to perform a reduction operation on the unreduced power operation data in the reduction space by using the reduced power operation data in the temporary storage space according to the purpose of retrieval; The transmission module is used for transmitting the reduced power operation data after the reduction operation is completed for all the power operation data to be reduced.

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