Power equipment communication transmission encryption system and method based on wireless communication technology

Abstract

The invention discloses a power equipment communication transmission encryption system and method based on a wireless communication technology, and relates to the technical field of power information transmission, and the system comprises an environment and working data collection module, an interference data dynamic prediction module, an equipment use planning module and a data encryption transmission module. Historical working parameter information of the transformer area identification instrument and historical environment data causing interference to work of the transformer area identification instrument are acquired through the environment and working data acquisition module, and interference data of the transformer area identification instrument in the current planned use period are dynamically predicted through the interference data dynamic prediction module. Working parameters of the transformer area identification instrument in the current planned use period are planned through the equipment use planning module, information collection is carried out through the transformer area identification instrument according to the planned working parameters, and the collected information is encrypted through the data encryption transmission module and then transmitted to the data monitoring center. And the data security is ensured while the power information transmission efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power information transmission, and in particular to a power equipment communication transmission encryption system and method based on wireless communication technology. Background Art

[0002] The main function of power equipment communication transmission encryption is to protect data security, prevent information leakage and improve system security. Through encryption technology, power equipment communication transmission can prevent sensitive information from being intercepted during transmission. The real-time data transmitted in the power system includes remote control, remote adjustment and setting value information of protection devices, etc. These data are related to the equipment status and directly affect the safe operation of the power grid. Encrypting the data during the transmission process through wireless communication technology can effectively prevent this information from being stolen. For example, after using the area identification instrument to collect the phase and attribute information of the user's electric energy meter, the collected data needs to be transmitted to the data monitoring center. Encrypting these data during the transmission process can effectively prevent the user's electric energy meter information from being stolen; However, in the process of data transmission of power equipment, while ensuring data security, it is also necessary to ensure data transmission efficiency. In the use of the power equipment such as the substation identification instrument, the uncertainty of the identification distance has always been a hidden danger problem. Due to the different line impedances caused by different user loads in different time periods, coupled with the uncertainty of the identification distance, it is easy for the substation identification instrument to sometimes receive the carrier signal during use, but sometimes not. As a result, the substation identification instrument cannot accurately and efficiently collect user electricity meter information to transmit the collected data to the data monitoring center, affecting the data transmission efficiency of the power equipment. Summary of the invention

[0003] The purpose of the present invention is to provide a power equipment communication transmission encryption system and method based on wireless communication technology to solve the problems raised in the prior art.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an electric power equipment communication transmission encryption system based on wireless communication technology, the system including an environment and working data acquisition module, an interference data dynamic prediction module, an equipment use planning module and a data encryption transmission module, the environment and working data acquisition module is used to collect historical working parameter information of the substation identification instrument and historical environmental data that interferes with the work of the substation identification instrument, the historical environmental data refers to the historical load data of users in the same area; the interference data dynamic prediction module is used to retrieve the historical environmental data that interferes with the work of the substation identification instrument, and the interference data of the current planned use period of the substation identification instrument is dynamically predicted; the predicted interference data is analyzed by the equipment use planning module, and the working parameters of the substation identification instrument in the current planned use period are planned according to the analysis results, and the substation identification instrument is used to collect information according to the planned working parameters; the collected information is encrypted by the data encryption transmission module and transmitted to the data monitoring center.

[0005] Preferably, the environment and working data acquisition module includes a user load acquisition unit, an electric power equipment information acquisition unit and an identification distance testing unit. The user load acquisition unit is used to collect historical user load data of the same area in different time periods in the past. Different time periods refer to different time periods. The user load of a certain time period is obtained by calculating the average value of the user loads collected at all times in this time period. The user load refers to the sum of the power demands of users in the power grid at a certain moment; the electric power equipment information acquisition unit is used to collect the signal transmission frequency information of the substation identifier during its previous use; the identification distance testing unit is used to test the effective identification distance information of the substation identifier when the signal transmission frequency is different. The effective identification distance refers to the maximum distance at which the substation identifier can accurately identify the substation to which the electric energy meter belongs and distinguish between the electric energy meters.

[0006] Preferably, the interference data dynamic prediction module includes a planned period collection unit and a load dynamic prediction unit. The planned period collection unit is used to collect the time period when the substation identification instrument of the current plan collects information from a random area; the load dynamic prediction unit is used to retrieve the user historical load of the corresponding area in the same time period as the current planned period, and predict the user load of the current planned period.

[0007] Preferably, the equipment use planning module includes an effective distance analysis unit, a signal transmission frequency planning unit and an electric energy meter information collection unit. The effective distance analysis unit is used to obtain the identification distance when the substation identifier can receive the carrier signal when the previous user load is the same as the predicted load in the current planning period, and analyze the effective identification distance of the substation identifier when the user load is the predicted user load in the current planning period according to the acquired data; the signal transmission frequency planning unit is used to retrieve the signal transmission frequency information of the substation identifier in the previous use process and the identification distance information of the substation identifier when the tested signal transmission frequency is different, combine the retrieved signal transmission frequency and identification distance data to generate training data points, establish a signal transmission frequency planning model after fitting the training data points, input the effective identification distance data into the signal transmission frequency planning model, and plan the signal transmission frequency of the substation identifier in the current planning period; the electric energy meter information collection unit is used to use the substation identifier to collect electric energy meter information at the planned signal transmission frequency in the current planning period, and the electric energy meter information includes phase and attribute information of the electric energy meter.

[0008] Preferably, the data encryption transmission module includes an information encryption processing unit and a data transmission unit. The information encryption processing unit is used to encrypt the collected data using the AES encryption algorithm after collecting the phase and attribute information of the electric energy meter in the current planned period; the data transmission unit is used to transmit the encrypted data to the data monitoring center using wireless communication technology.

[0009] The invention relates to a method for encrypting communication transmission of electric power equipment based on wireless communication technology, comprising the following steps: S101: Collecting historical working parameter information of the area identification device and historical environmental data that interferes with the work of the area identification device; S102: Retrieving historical environmental data that interferes with the operation of the area identification device, and dynamically predicting the interference data of the area identification device during the current planned use period; S103: Analyze the predicted interference data, plan the working parameters of the area identification device in the current planned use period according to the analysis results, and use the area identification device to collect information according to the planned working parameters; S104: The collected information is encrypted and transmitted to the data monitoring center.

[0010] Preferably, the step S101 includes: collecting historical user loads of a random area in the past f time periods, and collecting the signal transmission frequency set of the area identification instrument when collecting the electric energy meter information of the corresponding area in the past as F={F 1 , F 2 , ... F m}, the test shows that when the signal transmission frequency is within the set F, the effective identification distance set of the station area identification instrument is L={L 1 , L 2 , ...L m}, m represents the number of times the area identification instrument has been used to collect information on the corresponding area.

[0011] Preferably, the S102 includes: collecting the time period [T1, T2] for the area identification instrument in the current plan to collect the electric energy meter information of the corresponding area, the corresponding time period is the same as the i-th time period in the previous f time periods, the same time period means that the start time period and the end time are the same, T1 is the start time and T2 is the end time in the current planned time period, and the user historical load set for the time period that is the same as the i-th time period in the past is retrieved as ml-search={ml-search 1 , ml-search 2 , ...ml-search n}, ml-search n It represents the historical user load obtained in the same time period as the ith time period for the nth time in the past. The user load of the current planning time period is predicted according to the following formula: ml-search n+1 =a*(ml-search n )+(1-a)*Z n ; Among them, ml-search n+1 represents the predicted user load for the current planning period, a represents the smoothing coefficient, 0 <a<1,Z n It represents the exponential smoothing value of the user's historical load obtained in the same period as the i-th period for the nth time in the past. 1 =a*(ml-search 1 )+(1-a)*[(ml-search 1 +ml-search 2 +ml-search 3 ) / 3] Solve to obtain the exponential smoothing value Z of the user historical load obtained in the same period as the i-th period for the first time 1 , according to Z 2 =a*(ml-search 1 )+(1-a)*Z 1 Calculate Z 2 , according to Z 3 =a*(ml-search 2 )+(1-a)*Z 2 Calculate Z 3 , and so on to calculate Zn ; Considering that the user load may change even in the same time period, for example, the user load in a certain time period of the previous day may be different from the user load in the corresponding time period of the next day, combined with the time period information of the current plan to use the substation identification instrument to collect information, the user historical load data collected in the same time period in the past is retrieved, and the dynamic change law of the user historical load in a certain area is analyzed. Considering that the different user loads in different time periods cause different line impedances, which causes the substation identification instrument to sometimes receive the carrier signal during use, but sometimes not, thus causing interference. The user load of the current planned time period is predicted through the exponential smoothing algorithm, which is conducive to accurately estimating the interference data that will be encountered when using the substation identification instrument to collect information in the current planned time period.

[0012] Preferably, the S103 includes: obtaining the previous user load as ml-search n+1 When the station identification device can receive the carrier signal, the identification distance set is D={D 1 , D 2 , ...D r}, D r Indicates that the previous user load was ml-search n+1 When the station area identification device can receive the carrier signal for the rth time, the identification distance is calculated to obtain the user load ml-search n+1 The effective identification distance of the station area identification instrument is D 有效 , D 有效 =∑ r j=1 (D j ) / r,D j represents the jth item in the set D, retrieves the signal transmission frequency information of the area identification instrument in the past process of use and the identification distance information of the area identification instrument when the signal transmission frequency is different, and combines the retrieved signal transmission frequency and identification distance data to generate training data points. The generated training data points are {(F 1 , L 1 ), (F 2 , L 2 ),...(F m , L m )}, after fitting the training data points, a signal transmission frequency planning model is established: y=C1*x+C2, where C1 and C2 represent fitting coefficients, C1 and C2 are constants, x represents the variable representing the signal transmission frequency in the signal transmission frequency planning model, y represents the variable representing the identification distance in the signal transmission frequency planning model, and D 有效 Input into the signal transmission frequency planning model: Let y = D 有效, the optimal signal transmission frequency of the area identification device during the current planning period is planned to be (D 有效 -C2) / C1, use the area identification instrument to identify the current planning period (D 有效 -C2) / C1 is the signal transmission frequency to collect the information of the electric energy meter, and collect the phase difference and attribute information of the electric energy meter; After predicting the user load in the current planned period, the identification distance at which the substation identification instrument can receive the carrier signal when it was in the corresponding environment in the past, that is, when the user load was the predicted load, is obtained, and the effective identification distance under the interference of the corresponding user load is further analyzed. Considering that setting an appropriate signal transmission frequency can effectively improve the identification problem of the substation identification instrument, when the signal transmission frequency is set appropriately, the substation identification instrument can identify the electric energy meter information within the effective identification distance. By establishing a signal transmission frequency model, the analyzed effective identification distance under the interference of the corresponding user load is input into the signal transmission frequency model to predict the optimal signal transmission frequency of the substation identification instrument in the current planned period. The substation identification instrument is used to collect the electric energy meter information within the effective identification distance according to the predicted signal transmission frequency, which is conducive to improving the information collection efficiency of the substation identification instrument. The collected data is then transmitted to the data monitoring center, further improving the data transmission efficiency of the substation identification instrument.

[0013] Preferably, the S104 includes: after the area identification instrument collects the phase and attribute information of the electric energy meter in the current planned period, encrypting the collected data using the AES encryption algorithm, and transmitting the encrypted data to the data monitoring center using wireless communication technology; After the area identification instrument collects the electricity meter information, the data is encrypted before being transmitted, which helps to improve the efficiency of data transmission while improving the security of data transmission and avoid the problem of data being stolen during transmission.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects the historical user load data collected in the same period in the past through big data technology, analyzes the dynamic change law of the historical user load in a certain area, takes into account that different user loads in different periods cause different line impedances, which in turn causes the area identification instrument to sometimes receive the carrier signal during use, but sometimes cannot receive it, thus causing interference. The user load of the current planned period is predicted through an exponential smoothing algorithm, which is conducive to accurately estimating the interference data that will be encountered when using the area identification instrument to collect information in the current planned period; After predicting the user load in the current planned period, obtain the identification distance at which the substation identification instrument can receive the carrier signal when it was in the corresponding environment in the past, that is, when the user load is the predicted load, and further analyze the effective identification distance under the interference of the corresponding user load. Considering that setting an appropriate signal transmission frequency can effectively improve the identification problem of the substation identification instrument, when the signal transmission frequency is set appropriately, the substation identification instrument can identify the electric energy meter information within the effective identification distance. By establishing a signal transmission frequency model, the effective identification distance obtained under the interference of the corresponding user load is input into the signal transmission frequency model to predict the optimal signal transmission frequency of the substation identification instrument in the current planned period. The substation identification instrument is used to collect the electric energy meter information within the effective identification distance according to the predicted signal transmission frequency, which is conducive to improving the information collection efficiency of the substation identification instrument, and then the collected data is transmitted to the data monitoring center, which further improves the data transmission efficiency of the substation identification instrument. After the area identification instrument collects the electricity meter information, the data is encrypted before being transmitted, which helps to improve the efficiency of data transmission while improving the security of data transmission and avoid the problem of data being stolen during transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of the power equipment communication transmission encryption system based on wireless communication technology of the present invention; Figure 2 The present invention is a flowchart of a method for encrypting communication transmission of power equipment based on wireless communication technology. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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. Example

[0017] like Figure 1 As shown, this embodiment provides a power equipment communication transmission encryption system based on wireless communication technology, the system includes: an environment and working data acquisition module, an interference data dynamic prediction module, an equipment use planning module and a data encryption transmission module; The environment and working data collection module collects historical working parameter information of the area identification device and historical environmental data that interferes with the work of the area identification device. The historical environmental data refers to the historical load data of users in the same area. The interference data dynamic prediction module retrieves the historical environmental data that interferes with the work of the area identification instrument, and dynamically predicts the interference data of the area identification instrument during the current planned use period; The predicted interference data is analyzed through the equipment use planning module, and the working parameters of the area identification instrument in the current planned use period are planned according to the analysis results, and the area identification instrument is used to collect information according to the planned working parameters; The collected information is encrypted through the data encryption transmission module and then transmitted to the data monitoring center.

[0018] The environment and working data acquisition module includes a user load acquisition unit, a power equipment information acquisition unit and an identification distance test unit; The user load collection unit is used to collect historical user load data in the same area at different time periods. Different time periods refer to different time periods. The user load of a certain time period is obtained by calculating the average value of the user loads collected at all times during this time period. The user load refers to the total power demand of users in the power grid at a certain time; The power equipment information collection unit is used to collect the signal transmission frequency information of the area identification instrument during its previous use; The identification distance test unit is used to test the effective identification distance information of the area identification instrument when the signal transmission frequency is different. The effective identification distance refers to the maximum distance at which the area identification instrument can accurately identify the area to which the electric energy meter belongs and distinguish between the electric energy meters.

[0019] The interference data dynamic prediction module includes a planning period collection unit and a load dynamic prediction unit; The planned time period collection unit is used to collect the time period during which the area identification instrument of the current plan collects information from a random area; The load dynamic prediction unit is used to retrieve the user historical load of the corresponding area in the same period as the current planning period, and predict the user load of the current planning period.

[0020] The equipment use planning module includes an effective distance analysis unit, a signal transmission frequency planning unit and an electric energy meter information collection unit; The effective distance analysis unit is used to obtain the identification distance when the previous user load is the same as the predicted load of the current planned period when the station area identification instrument can receive the carrier signal, and analyze the effective identification distance of the station area identification instrument when the user load is the predicted user load of the current planned period according to the acquired data; The signal transmission frequency planning unit is used to retrieve the signal transmission frequency information of the area identification instrument in the past during use and the identification distance information of the area identification instrument when the tested signal transmission frequency is different, combine the retrieved signal transmission frequency and identification distance data to generate training data points, establish a signal transmission frequency planning model after fitting the training data points, input the effective identification distance data into the signal transmission frequency planning model, and plan the signal transmission frequency of the area identification instrument in the current planning period; The electric energy meter information collection unit is used to collect the electric energy meter information at the planned signal transmission frequency during the current planned period using the area identification instrument. The electric energy meter information includes the phase difference and attribute information of the electric energy meter.

[0021] The data encryption transmission module includes an information encryption processing unit and a data transmission unit; The information encryption processing unit is used to encrypt the collected data using the AES encryption algorithm after collecting the phase and attribute information of the electric energy meter in the current planned period; The data transmission unit is used to transmit the encrypted data to the data monitoring center using wireless communication technology. Example

[0022] like Figure 2 As shown, this embodiment provides a communication transmission encryption method for power equipment based on wireless communication technology, which is implemented based on the communication transmission encryption system in the embodiment and specifically includes the following steps: S101: Collect historical working parameter information of the area identification instrument and historical environmental data that interferes with the work of the area identification instrument: collect historical user loads in a random area in the past f time periods, and collect the signal transmission frequency set of the area identification instrument when collecting electric energy meter information in the corresponding area in the past, which is F={F 1 , F 2 , ... F m}, the test shows that when the signal transmission frequency is within the set F, the effective identification distance set of the station area identification instrument is L={L 1 , L 2 , ...L m}, m represents the number of times the area identification instrument has been used to collect information on the corresponding area; S102: retrieve historical environmental data that interferes with the work of the area identification instrument, and dynamically predict the interference data of the current planned use period of the area identification instrument: the period of the area identification instrument in the current plan to collect the electric energy meter information of the corresponding area is [T1, T2], and the corresponding period is the same as the i-th period in the previous f periods. The same period means that the start period and the end time are the same. In the current planned period, T1 is the start time and T2 is the end time. The user historical load set for the same period as the i-th period is retrieved as ml-search={ml-search 1 , ml-search 2 , ...ml-search n}, ml-search n It represents the historical user load obtained in the same time period as the ith time period for the nth time in the past. The user load of the current planning time period is predicted according to the following formula: ml-search n+1 =a*(ml-search n )+(1-a)*Z n ; Among them, ml-search n+1 represents the predicted user load for the current planning period, a represents the smoothing coefficient, 0 <a<1,Z n It represents the exponential smoothing value of the user's historical load obtained in the same period as the i-th period for the nth time in the past. 1 =a*(ml-search 1 )+(1-a)*[(ml-search 1 +ml-search 2 +ml-search 3 ) / 3] Solve to obtain the exponential smoothing value Z of the user historical load obtained in the same period as the i-th period for the first time 1 , according to Z 2 =a*(ml-search 1 )+(1-a)*Z 1 Calculate Z 2 , according to Z 3 =a*(ml-search 2 )+(1-a)*Z 2 Calculate Z 3 , and so on to calculate Z n ; For example, for a random area, retrieve the user load collected at each time in the same time period as [T1, T2] for the past four times, calculate the average value of the user load collected in each time period, and obtain the user historical load set of the past four times in the same time period as [T1, T2] as {ml-search 1 , ml-search 2 , ml-search 3 , ml-search 4}={900, 1000, 990, 1100}, unit: watt, set smoothing coefficient a=0.6, according to ml-search n+1 =a*(ml-search n )+(1-a)*Z n Predict the user load in the current planning period and obtain the exponential smoothing value Z of the user historical load obtained in the same period as [T1, T2] for the first time in the past 1 ≈925, we get Z 2 ≈910, Z 3 ≈964, Z 4 ≈980, the predicted user load for the current planning period is ml-search 5 ≈1052; S103: Analyze the predicted interference data, plan the working parameters of the area identification device in the current planned use period according to the analysis results, and use the area identification device to collect information according to the planned working parameters: obtain the previous user load ml-search n+1 When the station identification device can receive the carrier signal, the identification distance set is D={D 1 , D 2 , ...D r}, D r Indicates that the previous user load was ml-search n+1 When the station area identification device can receive the carrier signal for the rth time, the identification distance is calculated to obtain the user load ml-search n+1 The effective identification distance of the station area identification instrument is D 有效 , D 有效 =∑ r j=1 (D j ) / r,D j represents the jth item in the set D, retrieves the signal transmission frequency information of the area identification instrument in the past process of use and the identification distance information of the area identification instrument when the signal transmission frequency is different, and combines the retrieved signal transmission frequency and identification distance data to generate training data points. The generated training data points are {(F 1 , L1 ), (F 2 , L 2 ),...(F m , L m )}, after fitting the training data points, a signal transmission frequency planning model is established: y=C1*x+C2, where C1 and C2 represent fitting coefficients, C1 and C2 are constants, x represents the variable representing the signal transmission frequency in the signal transmission frequency planning model, y represents the variable representing the identification distance in the signal transmission frequency planning model, and D 有效 Input into the signal transmission frequency planning model: Let y = D 有效 , the optimal signal transmission frequency of the area identification device during the current planning period is planned to be (D 有效 -C2) / C1, use the area identification instrument to identify the current planning period (D 有效 -C2) / C1 is the signal transmission frequency to collect the information of the electric energy meter, and collect the phase difference and attribute information of the electric energy meter; S104: Encrypt the collected information and transmit it to the data monitoring center: After the area identification instrument collects the phase and attribute information of the electric energy meter in the current planned period, the collected data is encrypted using the AES encryption algorithm, and the encrypted data is transmitted to the data monitoring center using wireless communication technology.

[0023] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A power equipment communication transmission encryption system based on wireless communication technology, characterized by: It includes environment and working data acquisition module, interference data dynamic prediction module, equipment use planning module and data encryption transmission module; The environment and work data collection module collects historical work parameter information of the area identification device and historical environment data that interferes with the work of the area identification device; The interference data dynamic prediction module retrieves historical environmental data that interferes with the operation of the area identification device, and dynamically predicts the interference data of the area identification device during the current planned use period; The predicted interference data is analyzed by the equipment use planning module, the working parameters of the area identification instrument in the current planned use period are planned according to the analysis results, and the area identification instrument is used to collect information according to the planned working parameters; The collected information is encrypted and transmitted to the data monitoring center through the data encryption transmission module.

2. The power equipment communication transmission encryption system based on wireless communication technology according to claim 1 is characterized in that: The environment and working data acquisition module includes a user load acquisition unit, a power equipment information acquisition unit and an identification distance test unit; The user load collection unit is used to collect historical user load data of the same area at different time periods; The electric power equipment information collection unit is used to collect the signal transmission frequency information of the area identification device during its previous use; The identification distance testing unit is used to test the effective identification distance information of the station area identification instrument when the signal transmission frequency is different.

3. The power equipment communication transmission encryption system based on wireless communication technology according to claim 2 is characterized in that: The interference data dynamic prediction module includes a planning period collection unit and a load dynamic prediction unit; The planned time period collection unit is used to collect the time period during which the area identification instrument of the current plan collects information from a random area; The load dynamic prediction unit is used to retrieve the user historical load of the corresponding area in the same period as the current planning period, and predict the user load of the current planning period.

4. The power equipment communication transmission encryption system based on wireless communication technology according to claim 3 is characterized in that: The equipment use planning module includes an effective distance analysis unit, a signal transmission frequency planning unit and an electric energy meter information collection unit; The effective distance analysis unit is used to obtain the identification distance when the area identification instrument can receive the carrier signal when the previous user load is the same as the predicted load of the current planned period, and analyze the effective identification distance of the area identification instrument when the user load is the predicted user load of the current planned period according to the acquired data; The signal transmission frequency planning unit is used to retrieve the signal transmission frequency information of the area identification instrument in the past during use and the identification distance information of the area identification instrument when the tested signal transmission frequency is different, combine the retrieved signal transmission frequency and identification distance data to generate training data points, establish a signal transmission frequency planning model after fitting the training data points, input the effective identification distance data into the signal transmission frequency planning model, and plan the signal transmission frequency of the area identification instrument in the current planning period; The electric energy meter information collection unit is used to collect electric energy meter information using the area identification instrument at the planned signal transmission frequency during the current planned period, and the electric energy meter information includes phase and attribute information of the electric energy meter.

5. The power equipment communication transmission encryption system based on wireless communication technology according to claim 4 is characterized in that: The data encryption transmission module includes an information encryption processing unit and a data transmission unit; The information encryption processing unit is used to encrypt the collected data using the AES encryption algorithm after collecting the phase and attribute information of the electric energy meter in the current planned period; The data transmission unit is used to transmit the encrypted data to the data monitoring center using wireless communication technology.

6. A method for encrypting power equipment communication transmission based on wireless communication technology, characterized in that: The following steps are involved: S101: Collecting historical working parameter information of the area identification device and historical environmental data that interferes with the work of the area identification device; S102: Retrieving historical environmental data that interferes with the operation of the area identification device, and dynamically predicting the interference data of the area identification device during the current planned use period; S103: Analyze the predicted interference data, plan the working parameters of the area identification device in the current planned use period according to the analysis results, and use the area identification device to collect information according to the planned working parameters; S104: The collected information is encrypted and transmitted to the data monitoring center.

7. The method for encrypting power equipment communication transmission based on wireless communication technology according to claim 6 is characterized in that: The step S101 includes: collecting historical user loads of a random area in the past f time periods, collecting the signal transmission frequency set of the area identification instrument when collecting electric energy meter information in the corresponding area in the past as F={F1, F2, ...F m }, the test shows that when the signal transmission frequency is a frequency within the set F, the effective identification distance set of the station area identification instrument is L={L1, L2, ...L m }, m represents the number of times the area identification instrument has been used to collect information on the corresponding area.

8. The method for encrypting power equipment communication transmission based on wireless communication technology according to claim 7 is characterized in that: The step S102 includes: collecting the time period [T1, T2] during which the area identification instrument in the current plan collects the electric energy meter information of the corresponding area, the corresponding time period is the same as the i-th time period in the previous f time periods, and retrieving the user historical load set of the time period that is the same as the i-th time period as ml-search={ml-search1, ml-search2, ...ml-search n }, ml-search n It represents the historical user load obtained in the same time period as the ith time period for the nth time in the past. The user load of the current planning time period is predicted according to the following formula: ml-search n+1 =a*(ml-search n )+(1-a)*Z n ; Among them, ml-search n+1 represents the predicted user load for the current planning period, a represents the smoothing coefficient, 0 <a<1,Z n It represents the exponential smoothing value of the user historical load obtained in the same period as the ith period for the nth time in the past. According to Z1=a*(ml-search1)+(1-a)*[(ml-search1+ml-search2+ml-search3) / 3], the exponential smoothing value of the user historical load obtained in the same period as the ith period for the first time in the past is obtained. According to Z2=a*(ml-search1)+(1-a)*Z1, Z2 is calculated. According to Z3=a*(ml-search2)+(1-a)*Z2, Z3 is calculated. Z is calculated by analogy. n .

9. The method for encrypting power equipment communication transmission based on wireless communication technology according to claim 8 is characterized in that: The S103 includes: obtaining the previous user load as ml-search n+1 When the station identification device can receive the carrier signal, the identification distance set is D = {D1, D2, ...D r }, D r Indicates that the previous user load was ml-search n+1 When the station area identification device can receive the carrier signal for the rth time, the identification distance is calculated to obtain the user load ml-search n+1 The effective identification distance of the station area identification instrument is D 有效 , D 有效 =∑ r j=1 (D j ) / r,D j represents the jth item in the set D, retrieves the signal transmission frequency information of the area identification instrument in the past and the identification distance information of the area identification instrument when the signal transmission frequency is different, and combines the retrieved signal transmission frequency and identification distance data to generate training data points. The generated training data points are {(F1, L1), (F2, L2), ... (F m , L m )}, after fitting the training data points, a signal transmission frequency planning model is established: y=C1*x+C2, where C1 and C2 represent fitting coefficients, C1 and C2 are constants, x represents the variable representing the signal transmission frequency in the signal transmission frequency planning model, y represents the variable representing the identification distance in the signal transmission frequency planning model, and D 有效 Input into the signal transmission frequency planning model: Let y = D 有效 , the optimal signal transmission frequency of the area identification instrument during the current planning period is (D 有效 -C2) / C1, use the area identification instrument to identify the current planning period (D 有效 -C2) / C1 is the signal transmission frequency for collecting information of the electric energy meter, collecting the phase difference and attribute information of the electric energy meter.

10. The method for encrypting power equipment communication transmission based on wireless communication technology according to claim 9 is characterized in that: The S104 includes: after the area identification instrument collects the phase and attribute information of the electric energy meter in the current planned period, the collected data is encrypted using the AES encryption algorithm, and the encrypted data is transmitted to the data monitoring center using wireless communication technology.

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